Attribution method, device, equipment and medium
By using encryption algorithms in the IOS system to encrypt device identifiers in two-way and generate shared device identifiers, it solves the problems of private data leakage and waste of advertising resources caused by real-time IDFA matching attribution, and realizes accurate channel attribution and advertising resources. Efficient use.
Patent Information
- Application Number
- CN201911227326.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2019-12-04
- Publication Date
- 2025-01-17
- Estimated Expiration
- 2039-12-04
AI Technical Summary
In Apple's IOS system, real-time IDFA matching attribution causes advertisers to obtain full IDFA from the channel owner's promotion device, resulting in channel owner's private data leakage and waste of advertising resources, and the inability to conduct accurate next targeted promotion.
By using an encryption algorithm that meets the exchange characteristics, the device identification is encrypted in two-way and a shared device identification is generated to ensure that both parties to the communication can only obtain intersection information, avoid information leakage, and conduct cheat analysis to evaluate channel quality.
It realizes the security of protecting the private information of both parties of the communication, and provides accurate channel attribution and efficient utilization of advertising resources, improving the efficiency of advertising traffic conversion.
Smart Images

Figure CN112907268B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of computing Internet technology, and more specifically, to an attribution method, device, equipment and medium. Background Art
[0002] In the era of mobile Internet, the promotion of computer applications (Application, APP for short) is extremely important. When promoting mobile APP online, the retention rate, installation volume, cheating rate, etc. brought by different channels are key indicators for measuring channels. Activation attribution can clarify the channel source of this activation.
[0003] The advantage of Internet advertising is that it can be fine-tuned and targeted, and the results can be traced. Reasonable attribution can clarify the effect of advertising, and scientific judgment and backtracking can be achieved, so as to effectively optimize all aspects of advertising and operation.
[0004] In the iOS mobile operating system developed by Apple, an advertising identifier (IDFA) is provided to define the advertising identifier of a device with an iOS system. For channel owners, in order to achieve precise and targeted advertising, the data that needs to be obtained includes the IDFA of those who clicked on the ad and activated the APP, and the IDFA of those who clicked on the ad but did not activate it. For advertisers, the number of clicks and conversions can measure the conversion efficiency of the channel, thereby evaluating the quality of the channel. In order to generate the information required by advertisers and channel owners, data exchange between advertisers and channel owners is bound to occur, which poses a risk of information leakage.
[0005] However, based on real-time IDFA matching attribution, advertisers can receive the device's IDFA every time the device views an ad, and advertisers save the full IDFA of the devices promoted by the channel owner. For the channel owner, the full device IDFA may show the characteristics of the channel's advertising resources, such as region, industry, and specific population. These data are relatively private to the channel owner. Moreover, the channel owner cannot know the activated part of the devices he promotes, so he cannot carry out the next step of targeted promotion, resulting in a waste of advertising resources. Summary of the invention
[0006] In view of this, the present disclosure provides an attribution method, apparatus, device and medium that can protect the private information of both communicating parties and enable both communicating parties to obtain the information required for attribution.
[0007] One aspect of the present disclosure provides an attribution method, which may include the following operations: encrypting each identifier of a first device identifier set using a first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that satisfies an exchange characteristic; sending the first encrypted identifier set; receiving a second encrypted identifier set and a third encrypted identifier set, wherein the second encrypted identifier set is obtained by encrypting each identifier of the second device identifier set using a second private key, wherein the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic; wherein each third encrypted identifier of the third encrypted identifier set is obtained by encrypting each identifier of the first encrypted identifier set using the second private key; in response to receiving the second encrypted identifier set and the third encrypted identifier set, based on the encryption algorithm that satisfies the exchange characteristic, processing the second encrypted identifier set and the third encrypted identifier set to obtain a fourth encrypted identifier set, wherein the fourth encrypted identifier set is a shared device identifier set encrypted by the second private key; and sending the fourth encrypted identifier set so as to facilitate attribution based on the shared device identifier set obtained by decrypting the fourth encrypted identifier set.
[0008] According to an embodiment of the present disclosure, the first device identification set includes at least one of the following: an advertisement tracking identification set, an Internet Protocol address set, or a user identification set.
[0009] According to an embodiment of the present disclosure, the first device identification set may include at least one of the following: an advertisement tracking identification set of an activated application device, an Internet Protocol address (IP address set) of an activated application device, or a user identification set (User Agent, UA) of an activated application device. Alternatively, the first device identification set includes at least one of the following: an advertisement tracking identification set of a device viewing an advertisement, an IP address set of a device viewing an advertisement, or a user identification set of a device viewing an advertisement, and the first server and the second server cooperate.
[0010] According to an embodiment of the present disclosure, the encryption algorithm that satisfies the exchange characteristic may be various encryption algorithms that satisfy the interaction characteristic, including but not limited to the elliptic curve encryption algorithm.
[0011] According to an embodiment of the present disclosure, in response to receiving the second encryption identification set and the third encryption identification set, based on the encryption algorithm that satisfies the exchange characteristic, processing the second encryption identification set and the third encryption identification set to obtain a fourth encryption identification set may include the following operations: first, receiving the second encryption identification set and the third encryption identification set, then encrypting the third encryption identification set using the first private key to obtain a fifth encryption identification set, then using the second encryption identification set and the fifth encryption identification set to obtain a sixth encryption identification set based on the encryption algorithm that satisfies the exchange characteristic, wherein the sixth encryption identification set is a common device identification set encrypted by the first private key and the second private key, and decrypting the sixth encryption identification set using the first private key to obtain the fourth encryption identification set.
[0012] According to an embodiment of the present disclosure, the method may further include the following operation: after obtaining the shared device identification set, performing cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device.
[0013] According to an embodiment of the present disclosure, the anti-cheating analysis of the activated application device may include the following operations: first, analyzing whether the activated application device is cheating based on the hardware characteristics of the activated application device, and then storing the cheating activated application device in a cheating device database. Correspondingly, the cheating analysis based on the shared device identifier and preset cheating device information may include the following operations: first, determining whether the channel corresponding to the shared device identifier is cheating based on the shared device identifier and the cheating device database, and if so, accumulating the number of cheating times for the channel corresponding to the shared device identifier, and then evaluating the channel quality based on the number of cheating times and the number of advertisement views of the channel.
[0014] Another aspect of the present disclosure provides an attribution method, which may include the following operations: first, obtain a first encrypted identification set, wherein the first encrypted identification set is an encrypted identification set obtained by encrypting each first device identification of the first device identification set using a first private key, then, encrypt each identification of the first encrypted identification set using a second private key to obtain a second encrypted identification set, and encrypt each identification of the second device identification set using a second private key to obtain a third encrypted identification set; wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic. Then, send the second encrypted identification set and the third encrypted identification set. Next, receive a fourth encrypted identification set, wherein the fourth encrypted identification set is a shared device identification set encrypted by the second private key. Then, in response to receiving the fourth encrypted identification set, decrypt the fourth encrypted identification set using the second private key to obtain the shared device identification set, so as to facilitate attribution based on the shared device identification set. In this way, information related to shared device identifications can be obtained to facilitate data analysis.
[0015] According to an embodiment of the present disclosure, the second device identification set includes at least one of the following: an advertising tracking identification set, an IP address set, or a user identification set. This allows the attribution method to be applicable to an IOS operating system and / or an Android operating system.
[0016] According to an embodiment of the present disclosure, the second device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, a set of IP addresses of devices that view advertisements, or a set of user identifications of devices that view advertisements, or the second device identification set includes at least one of the following: an advertising tracking identification set of devices that activate applications, a set of IP addresses of devices that activate applications, or a set of user identifications of devices that activate applications.
[0017] According to an embodiment of the present disclosure, the encryption algorithm that satisfies the exchange characteristic is an elliptic curve encryption algorithm.
[0018] According to an embodiment of the present disclosure, the method may further include the following operation: after obtaining the shared device identification set, performing cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device.
[0019] Another aspect of the present disclosure provides an attribution device, including a first encryption module, a first sending module, a first receiving module, an exchange module, and a second sending module, wherein the first encryption module is used to encrypt each identifier of the first device identifier set using a first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic. The first sending module is used to send the first encrypted identifier set. The first receiving module is used to receive a second encrypted identifier set and a third encrypted identifier set, wherein the second encrypted identifier set is obtained by encrypting each identifier of the second device identifier set using a second private key, and the third encrypted identifier set is obtained by encrypting each first encrypted identifier of the first encrypted identifier set using the second private key, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic. The exchange module is used to, in response to receiving the second encrypted identifier set and the third encrypted identifier set, process the second encrypted identifier set and the third encrypted identifier set based on the encryption algorithm that satisfies the exchange characteristic to obtain a fourth encrypted identifier set, wherein the fourth encrypted identifier set is a shared device identifier set encrypted by the second private key. The second sending module is used to send the fourth encrypted identification set so as to facilitate attribution according to the shared device identification set obtained by decrypting the fourth encrypted identification set.
[0020] According to an embodiment of the present disclosure, the first device identification set includes at least one of the following: an advertisement tracking identification set of an activated application device, an IP address set of an activated application device, or a user identification set of an activated application device. Alternatively, the first device identification set includes at least one of the following: an advertisement tracking identification set of a device viewing an advertisement, an IP address set of a device viewing an advertisement, or a user identification set of a device viewing an advertisement.
[0021] According to an embodiment of the present disclosure, the exchange module may include a receiving unit, an encryption unit, an exchange unit and a decryption unit, wherein the receiving unit is used to receive a second encryption identification set and a third encryption identification set, the encryption unit is used to encrypt the third encryption identification set using a first private key to obtain a fifth encryption identification set, the exchange unit is used to obtain a sixth encryption identification set based on the encryption algorithm that satisfies the exchange characteristics using the second encryption identification set and the fifth encryption identification set, wherein the sixth encryption identification set is the shared device identification set encrypted by the first private key and the second private key, and the decryption unit is used to decrypt the sixth encryption identification set using the first private key to obtain the fourth encryption identification set.
[0022] According to an embodiment of the present disclosure, the attribution device may further include a first cheating analysis module, which is used to perform cheating analysis based on the shared device identifiers and preset cheating device information after obtaining the shared device identifier set, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device.
[0023] According to an embodiment of the present disclosure, the first cheating analysis module may include a cheating analysis unit, a storage unit, a cheating determination unit, an accumulation unit and an evaluation unit, wherein the cheating analysis unit is used to analyze whether the activated application device is cheating according to the hardware characteristics of the activated application device, the storage unit is used to store the cheating activated application device in the cheating device database, the cheating determination unit is used to determine whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database, the accumulation unit is used to accumulate the number of cheating times for the channel corresponding to the shared device identifier if yes, and the evaluation unit is used to evaluate the channel quality according to the number of cheating times of the channel and the number of advertisement views of the channel.
[0024] Another aspect of the present disclosure provides an attribution device, which may include a first acquisition module, a second encryption module, a third sending module, a second receiving module and a first decryption module, wherein the first acquisition module is used to acquire a first encrypted identification set, wherein the first encrypted identification set is an encrypted identification set obtained by encrypting each identification of the first device identification set using a first private key. The second encryption module is used to encrypt each identification of the first encrypted identification set using a second private key to obtain a second encrypted identification set, and to encrypt each identification of the second device identification set using a second private key to obtain a third encrypted identification set; wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic. The third sending module is used to send the second encrypted identification set and the third encrypted identification set. The second receiving module is used to receive a fourth encrypted identification set, wherein the fourth encrypted identification set is a common device identification set encrypted by the second private key, and the common device identification set is the intersection of the first device identification set and the second device identification set. The first decryption module is used for decrypting the fourth encrypted identification set using the second private key in response to receiving the fourth encrypted identification set to obtain the shared device identification set, so as to facilitate attribution based on the shared device identification set.
[0025] Another aspect of the present disclosure provides a device that may include one or more processors and a storage device, wherein the storage device is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the method as described above is implemented.
[0026] Another aspect of the present disclosure provides a non-volatile storage medium storing computer executable instructions, which are used to implement the above method when executed.
[0027] Another aspect of the present disclosure provides a computer program, which includes computer executable instructions, and the instructions are used to implement the method described above when executed.
[0028] According to the embodiments of the present disclosure, it is possible to at least partially solve the problem in the prior art that in order to generate the information required by the communicating parties, data exchange between the communicating parties is bound to occur, resulting in the risk of information leakage. Therefore, it is possible to achieve the technical effect of being able to protect the private information of the communicating parties and allowing the communicating parties to obtain information related to the shared device identification.
[0029] According to the embodiments of the present disclosure, advertisers can perform accurate channel attribution through the encrypted IDFA of ads viewed provided by the channel owner. The channel owner can obtain the conversion data of ads viewed, formulate the next advertising delivery strategy, and improve the conversion efficiency of advertising traffic.
[0030] According to an embodiment of the present disclosure, the first device identification set and the second device identification set may include at least one of the following: an advertising tracking identification set, an IP address set or a user identification set, which can be applicable to various operating systems, such as Apple's IOS operating system and Google's Android operating system.
[0031] According to an embodiment of the present disclosure, the first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an IP address set of activated application devices, or a user identification set of activated application devices, so that the identity information of the activated application devices can be obtained, or the first device identification set includes at least one of the following: an advertisement tracking identification set of devices that view advertisements, an IP address set of devices that view advertisements, or a user identification set of devices that view advertisements, so that the identity information of the devices that view advertisements can be obtained.
[0032] According to an embodiment of the present disclosure, after receiving the second encrypted identification set and the third encrypted identification set, the third encrypted identification set can be encrypted using the first private key to obtain a fifth encrypted identification set, so that the encrypted first device identification set and the encrypted second device identification set satisfy the characteristics of exchange, that is, the second encrypted identification set and the fifth encrypted identification set satisfy the characteristics of exchange, and then an encrypted shared device identification set satisfying the characteristics of exchange can be obtained, that is, the sixth encrypted identification set, and then the sixth encrypted identification set is decrypted using the first private key stored in itself to obtain the fourth encrypted identification set, so as to facilitate the decryption of the fourth encrypted identification set to obtain an unencrypted shared device identification set. Since the shared device identification set is a device identification set stored by both parties, the problem of information leakage is at least partially avoided.
[0033] According to an embodiment of the present disclosure, after obtaining a set of shared device identifiers, it is also possible to determine whether the shared device identifier has a cheating record. If so, a record can be made to facilitate cheating analysis, wherein whether there is a cheating record can be determined by analyzing whether the activated application device cheats based on the hardware characteristics of the activated application device, and a cheating device database can be constructed using the cheating shared device identifiers to facilitate cheating analysis.
[0034] According to the embodiments of the present disclosure, since the shared device identification needs to be obtained through the process of encryption and decryption jointly participated by both parties, neither of the communicating parties can obtain all of the other party's device identifications, but can only obtain the shared device identification of both parties. In addition, the communicating parties can obtain the shared device identification, so that both parties can perform the required analysis based on the shared device identification, such as device identification attribution, etc. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:
[0036] Figure 1A A data flow diagram of an attribution method of the prior art is schematically shown;
[0037] Figure 1B An exemplary system architecture to which the attribution method can be applied according to an embodiment of the present disclosure is schematically shown;
[0038] Figure 1C A schematic diagram schematically shows an advertisement application and a channel application of a client according to an embodiment of the present disclosure;
[0039] Figure 2A A flowchart of an attribution method according to an embodiment of the present disclosure is schematically shown;
[0040] Figure 2BA flowchart of obtaining a fourth encryption identification set based on the encryption algorithm satisfying the exchange characteristic according to an embodiment of the present disclosure is schematically shown;
[0041] Figure 2C A flowchart of an attribution method according to another embodiment of the present disclosure is schematically shown;
[0042] Figure 2D A flowchart of cheating analysis according to an embodiment of the present disclosure is schematically shown;
[0043] Figure 3A A flowchart of an attribution method according to another embodiment of the present disclosure is schematically shown;
[0044] Figure 3B A flowchart of an attribution method according to another embodiment of the present disclosure is schematically shown;
[0045] Figure 3C A data flow diagram of an attribution method according to an embodiment of the present disclosure is schematically shown;
[0046] Figure 4A A block diagram of an attribution device according to an embodiment of the present disclosure is schematically shown;
[0047] Figure 4B A block diagram of a first cheating analysis module according to an embodiment of the present disclosure is schematically shown;
[0048] Figure 4C A block diagram schematically shows an attribution device according to another embodiment of the present disclosure; and
[0049] Figure 5 A block diagram of a device suitable for implementing attribution according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION
[0050] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.
[0051] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.
[0052] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.
[0053] In the case of using expressions such as "at least one of A, B, and C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but not be limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.). In the case of using expressions such as "at least one of A, B, or C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, or C" should include but not be limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.). Those skilled in the art should also understand that any transitional conjunctions and / or phrases that substantially indicate two or more optional items, whether in the specification, claims, or drawings, should be understood to give the possibility of including one of these items, either of these items, or both of these items. For example, the phrase "A or B" should be understood to include the possibilities of "A" or "B", or "A and B".
[0054] In the prior art, in the Android system, channels are differentiated by distributing different channel packages. In the iOS system, when users click on an APP advertisement, they are redirected to the APP STORE, which makes activation attribution a problem. There are two main solutions for channel attribution.
[0055] Figure 1A A data flow diagram of an attribution method in the prior art is schematically shown.
[0056] The first is real-time IDFA matching attribution, such as Figure 1A As shown. After viewing the ad content (such as clicking on the "enter" or "view" icon on the ad), the client sends an ad click message to the advertiser's ad server. The ad server receives the ad click message and puts the IDFA and channel information into the database. When the device activation message arrives, the ad click message is matched to the database based on the IDFA, and the channel information of the most recent ad click message is fed back to the ad server, which then attributes the activation to the channel.
[0057] When using real-time IDFA matching attribution, the ad server receives the device's IDFA every time the client device views an ad, and the ad server saves the full IDFA of the channel owner's channel server-promoted devices. For the channel owner, the full device IDFA may show the characteristics of the channel's advertising resources, such as region, industry, and specific population. These data are relatively private to the channel owner. Moreover, the channel owner cannot know the activated part of the devices he promotes, so he cannot carry out the next step of targeted promotion, resulting in a waste of advertising resources.
[0058] The second is the matching attribution of IP address and UA (User Agent, UA for short). Similar to the above real-time IDFA matching, the IP and UA are reported to the advertiser, and the channel activation is attributed based on the matching of IP and UA.
[0059] When using IP plus UA matching attribution, this solution can better protect the promotion data of the channel owner, but the matching accuracy is not high enough. This is because there can be a large number of users under the same IP, and IP is easy to forge. Therefore, the differentiation of UA is not high, and there may be a large number of users under the same UA, resulting in the inability to perform accurate advertising attribution.
[0060] The embodiments of the present disclosure provide an attribution method, an attribution system, a device and a medium. The attribution method includes an encryption process of both communicating parties and a decryption process of both communicating parties. Through the cooperation of the encryption process and the decryption process of both communicating parties, both communicating parties can only obtain the shared device identification of both parties, but cannot obtain the unshared device identification of the other party to at least partially avoid information leakage, and then the required analysis can be performed based on the shared device identification.
[0061] Figure 1B The exemplary system architecture 100 to which the attribution method can be applied according to an embodiment of the present disclosure is schematically shown. It should be noted that: Figure 1B What is shown is merely an example of a system architecture to which the embodiments of the present disclosure can be applied, in order to help those skilled in the art understand the technical content of the present disclosure, but it does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.
[0062] like Figure 1B As shown, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.
[0063] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send information, etc. Terminal devices 101, 102, 103 can display various application advertisements pushed by advertisers through channel providers, and can be used to download, view and install various communication client applications. When viewing advertisements, downloading applications and activating applications, they will communicate with server 105. The above-mentioned communication client applications include but are not limited to shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only as examples).
[0064] The terminal devices 101 , 102 , 103 may be various electronic devices having display screens and supporting advertisement browsing, application downloading, and application activation, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers, etc.
[0065] The server 105 may be a server that provides various services, such as a server that provides channel services to the user terminal devices 101, 102, 103, a server that pushes advertisements to the user terminal devices 101, 102, 103, and a background management server that supports applications used by users using the terminal devices 101, 102, 103 (only as an example). The server may analyze, store, and process the received data such as user requests, and may feed back the processing results (such as web pages, information, or data obtained or generated according to user requests, etc.) to the terminal device.
[0066] It should be noted that the attribution method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the attribution device provided in the embodiment of the present disclosure can generally be set in the server 105. The attribution method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Accordingly, the attribution device provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105.
[0067] It should be understood that Figure 1B The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.
[0068] Figure 1C The following schematic diagram shows an advertising application and a channel application of a client according to an embodiment of the present disclosure. Figure 1CAs shown, taking a smartphone as an example, there may be multiple applications on the client's operating interface, and various applications may simultaneously serve as advertiser's applications and channel owner's applications. For example, advertisements may be JD's advertisements about JD Mall or products sold in JD Mall, promotional advertisements for various applications of Tencent, etc. At the same time, these advertisers may also be channel owners, for example, application stores launched by various advertisers, Tencent's WeChat Moments, Tencent social advertising channels, iQiyi Video, Toutiao, UC Browser, etc.
[0069] The following combination Figures 2A to 3C The attribution method of the embodiment of the present disclosure is described.
[0070] Figure 2A A flowchart of an attribution method according to an embodiment of the present disclosure is schematically shown. The attribution method can be applied to a first device, the first device having a first public-private key pair generated by an encryption algorithm that satisfies the exchange characteristic, wherein a first private key in the first public-private key pair can be stored in the first device.
[0071] like Figure 2A As shown, the method includes operations S201 to S205.
[0072] In operation S201, each identifier of the first device identifier set is encrypted using the first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic.
[0073] In this embodiment, the encryption algorithm that satisfies the exchange characteristic may be an encryption algorithm that satisfies the exchange characteristic, such as Elliptic Curves Cryptography (ECC). The encryption algorithm that satisfies the exchange characteristic is exemplified as follows: the information to be transmitted is denoted as A. First, the first private key Key1 is used to encrypt the information A, which is denoted as Key1(A). The second private key Key2 is used to encrypt Key1(A) again, which is denoted as Key2(Key1(A)); if the second private key Key2 is used to encrypt the information A, which is denoted as Key2(A). The first private key Key1 is used to encrypt Key2(A) again, which is denoted as Key1(Key2(A)). At this time, Key2(Key1(A)) and Key1(Key2(A)) satisfy the exchange characteristic, that is, Key2(Key1(A))=Key1(Key2(A)).
[0074] Specifically, the first device identification set may include one or more device identifications, such as the device identification of the device with historical application activation stored. The first device identification set may include at least one of the following: IDFA, IP address set or user identification set UA. Among them, UA is a special string header that enables the server to identify the operating system and version, browser and version and other information used by the user. For example, for viewing advertisement instructions, downloading application instructions, activating application instructions, etc. sent by the IOS operating system, the client may send to the server one or more information including IDFA information, IP address set or UA, etc., so that the server can record the device identity information for viewing advertisements, downloading applications or activating applications; for viewing advertisement instructions, downloading application instructions, activating application instructions, etc. sent by the Android operating system, the client may send to the server one or more information including IP address set or UA, so that the server can record the device identity information for viewing advertisements, downloading applications or activating applications.
[0075] In a specific embodiment, the first device may be an advertisement server, and accordingly, the first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an IP address set of activated application devices, or a user identification set of activated application devices. In addition, the first device may also be a channel server, and accordingly, the first device identification set includes at least one of the following: an advertisement tracking identification set of devices viewing advertisements, an IP address set of devices viewing advertisements, or a user identification set of devices viewing advertisements.
[0076] The following is an example of the first device being an advertising server. The advertising server randomly generates a private key for the ECC encryption algorithm and saves it locally. Encrypt all the activated device IDFAs in the history, such as all the activated devices on the previous day are recorded as Active_IDFA, and the encrypted Active_IDFA is recorded as Ad(Active_IDFA).
[0077] Then, in operation S202, the first encryption identification set is sent to the second device.
[0078] Next, in operation S203, a second encrypted identification set and a third encrypted identification set sent by the second device are received, wherein the second encrypted identification set is obtained by the second device encrypting each identification of the second device identification set using the second private key, and the third encrypted identification set is obtained by the second device encrypting each first encrypted identification of the first encrypted identification set using the second private key, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic. Specifically, each third encrypted identification of the third encrypted identification set is obtained by the second device encrypting each identification of the first encrypted identification set using the second private key.
[0079] Then, in operation S204, in response to receiving the second encryption identification set and the third encryption identification set, based on the encryption algorithm that satisfies the exchange characteristic, the second encryption identification set and the third encryption identification set are processed to obtain a fourth encryption identification set, wherein the fourth encryption identification set is a common device identification set encrypted by the second private key, and the common device identification set is the intersection of the first device identification set and the second device identification set.
[0080] In this embodiment, the second encrypted identification set and the third encrypted identification set are identification sets obtained by the second device using the second private key to encrypt each first encrypted identification of the first encrypted identification set and each second device identification of the second device identification set. The first device identification set and the second device identification set have a common device identification or do not have a common device identification. The common device identification is a device identification that is commonly found in the first device identification set and the second device identification set. The fourth encrypted identification set is a common device identification set encrypted by the second private key. Among them, the second device and the first device may not be the same device, or may be the same device, but provide different services to advertisers and channel owners respectively. The second private key may also be a private key generated based on an encryption algorithm that meets the exchange characteristics. The second device identification set may include one or more device identifications, such as the device identification of a device that stores historical advertisement viewing. The first device identification set and the second device identification set may or may not have the same device identification. When the same device identification exists, it means that the probability of information leakage is small when both communication parties obtain the same device identification, that is, different device identifications will not be obtained by the communication party, and these private information can be protected.
[0081] In a specific embodiment, the first device is an advertising server and the second device is a channel server. The channel server sends the second encrypted identifier, such as Un(Ad(Active_IDFA)), and the third encrypted identifier, such as Un(Click_IDFA), to the advertising server, where Click_IDFA is the device identity information of the device on which the advertisement pushed by the channel is viewed, and is stored in the channel server. Active_IDFA and Click_IDFA are both encrypted by the private key of the communicating party, so the communicating parties cannot know the encrypted information of the other party, which at least partially avoids information leakage. Since the encryption methods of Un(Ad(Active_IDFA)) and Un(Click_IDFA) are different and do not meet the characteristics of exchange, in order to obtain the device identity information that meets the characteristics of exchange, the first private key is used to encrypt Un(Click_IDFA) to obtain Ad(Un(Click_IDFA)). At this time, if there is a shared device identification, that is, at least part of the Active_IDFA and Click_IDFA are the same, then the corresponding Un(Ad(Active_IDFA)) and Ad(Un(Click_IDFA)) meet the characteristics of exchange, and the same Active_IDFA and Click_IDFA are recorded as Conv_IDFA, and the converted Ad(Un(Conv_IDFA)) or Un(Ad(Conv_IDFA)) can be obtained. In this way, the encrypted device identity information shared by the two communicating parties (that is, the encrypted shared device identification) is obtained.
[0082] In operation S205, the fourth encrypted identification set is sent to the second device, so as to facilitate attribution according to the shared device identification set obtained by decrypting the fourth encrypted identification set by the second device.
[0083] In this embodiment, after obtaining the encrypted shared device identification set, the two communicating parties cooperate with each other to decrypt the encrypted shared device identification set to obtain the shared device identification set, so that both communicating parties can obtain the shared device identification for the purpose of attribution or precise promotion of the shared device identification. In addition, because the encrypted shared device identification is obtained, the communicating party can not obtain the unshared device identification, thereby increasing the security of the privacy information.
[0084] For example, the second device decrypts the fourth encrypted identification set to obtain a shared device identification set and performs attribution. For another example, when the first device needs to perform attribution, it can send a shared device identification set request to the second device, receive the shared identification set from the second device, and then perform attribution analysis.
[0085] In the attribution method provided by the present disclosure, since the channel server can only obtain the encrypted device identification of the advertising server, such as the activation device identification data, the advertising server can also only obtain the encrypted device identification of the channel server, such as the device identification data of the advertisement being viewed. Then both parties encrypt once respectively, and match to obtain the shared device identification of both parties, so that the advertiser can clearly do the activation channel attribution.
[0086] Figure 2B A flowchart of obtaining a fourth encryption identifier based on the encryption algorithm satisfying the exchange characteristic according to an embodiment of the present disclosure is schematically shown.
[0087] like Figure 2B As shown, obtaining the fourth encryption identifier based on the encryption algorithm that satisfies the exchange characteristic may include operations S2021 to S2024.
[0088] In operation S2021, a second encrypted identification set and a third encrypted identification set sent by a second device are received. The second encrypted identification set and the third encrypted identification set are identification sets obtained by the second device using a second private key to encrypt each first encrypted identification of the first encrypted identification set and each second device identification of the second device identification set, respectively. The first device identification set includes shared device identifications and / or unshared device identifications, and the second device identification set includes shared device identifications and / or unshared device identifications. The shared device identifications are device identifications that are commonly found in the first device identification set and the second device identification set, and the unshared device identifications are the remaining device identifications in the first device identification set and the second device identification set. That is, the first device identification set and the second device identification set may include the same device identification, or may not include the same device identification, and the fourth encrypted identification set is a shared device identification set encrypted by the second private key.
[0089] In operation S2022, the third encrypted identification set is encrypted using the first private key to obtain a fifth encrypted identification set.
[0090] In this embodiment, the third encryption identification set is encrypted using the first private key so that the encryption method of each second device identification in the second device identification set and the encryption method of the first device identification meet the characteristics of exchange.
[0091] As mentioned above, since the encryption methods of the second encrypted identifier, such as Un(Ad(Active_IDFA)), and the third encrypted identifier, such as Un(Click_IDFA), are different and do not meet the exchange characteristics, in order to obtain the common device identity information, the first private key is used to encrypt Un(Click_IDFA) to obtain Ad(Un(Click_IDFA)).
[0092] In operation S2023, the second encryption identification set and the fifth encryption identification set are used to obtain a sixth encryption identification set based on the encryption algorithm that satisfies the exchange characteristic, wherein the sixth encryption identification set is the shared device identification set encrypted by the first private key and the second private key.
[0093] After obtaining Ad(Un(Click_IDFA)), if Active_IDFA and Click_IDFA are the same, then Un(Ad(Active_IDFA)) and Ad(Un(Click_IDFA)) satisfy the exchange characteristics. The same Active_IDFA and Click_IDFA are recorded as Conv_IDFA, and the converted Ad(Un(Conv_IDFA)) or Un(Ad(Conv_IDFA)) can be obtained.
[0094] In operation S2024, the sixth encrypted identification set is decrypted using the first private key to obtain the fourth encrypted identification set.
[0095] Since the first private key is stored in the first device, in order to reduce the number of data exchanges, Ad(Un(Conv_IDFA)) can be used as the sixth encryption identifier set, so that Ad(Un(Conv_IDFA)) can be decrypted using the first private key to obtain Un(Conv_IDFA).
[0096] The method for obtaining the fourth encrypted identification set based on the encryption algorithm that satisfies the exchange characteristics provided in the present disclosure can achieve an encryption method that satisfies the exchange characteristics by bidirectionally encrypting the device identification. If the device identification is a shared device identification, the encrypted shared device identification can be efficiently obtained according to the exchange characteristics.
[0097] Figure 2C The flowchart of the attribution method according to another embodiment of the present disclosure is schematically shown.
[0098] like Figure 2C As shown, the attribution method may further include operation S206.
[0099] In operation S206, if the first device is an advertising server, after obtaining the set of shared device identifiers, cheating analysis is performed according to the shared device identifiers and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of application devices.
[0100] In this embodiment, since the channel owner may cheat in order to improve his own performance, for example, to increase the number of advertisements viewed, the advertising service end needs to perform cheating analysis on the shared device identifier. Specifically, cheating analysis can be performed based on pre-built cheating device information, such as a cheating device database. For example, if the obtained shared device identifier falls into the cheating device database, it indicates that the channel corresponding to the shared device identifier has cheating behavior, which is recorded, and then the quality of each channel is analyzed based on the recorded data, for example, the quality of each channel is analyzed based on the cheating ratio, etc.
[0101] Among them, the cheating device information can be analyzed based on the hardware characteristics of the activated application device, the user's retention curve, the ratio of the latest operating system, the ratio of wireless local area network connection, etc. For example, the line type of the user's retention curve does not match the line type of the conventional user retention curve, the proportion of low-end activated application devices is too high (such as judging based on the device's central processing unit (CPU) model, memory and other hardware characteristics), the activated application device frequently resets the IDFA, the proportion of activated application devices with unupdated operating systems is too high, the proportion of time spent by mobile terminals (such as smart phones) using wireless local area network connections is much higher than the regular proportion of time, etc. Based on the above situations, it can be analyzed whether the activated application device is a cheating device, and then a cheating device database can be constructed.
[0102] Figure 2D The flowchart of performing cheating analysis according to an embodiment of the present disclosure is schematically shown.
[0103] like Figure 2D As shown, performing cheating analysis may include operations S2041 to S2045.
[0104] In operation S2041, the activated application device is analyzed to determine whether it is cheating according to the hardware features of the activated application device. According to the results of actual statistical analysis, the hardware features of the activated application device are more closely related to whether the activated application device is cheating. Therefore, the result of analyzing whether the activated application device is cheating according to the hardware features of the activated application device is more accurate.
[0105] In operation S2042, the cheating activation application device is stored in the cheating device database. For example, the IDFA of the cheating device is stored in the history library of the cheating device.
[0106] In operation S2043, it is determined whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database. For example, the shared device identifier is matched in the cheating device database to determine whether the shared device identifier is suspected of cheating.
[0107] In operation S2044, if yes, the number of cheating times is accumulated for the channel corresponding to the shared device identifier.
[0108] In operation S2045, the channel quality is evaluated according to the number of cheating times of the channel and the number of ad views of the channel. For example, the number of cheating times of the channel is divided by the number of ad views of the channel to obtain the cheating rate of the channel, and then the channel quality is judged according to the cheating rate. Of course, in addition to the cheating rate of the channel, the quality of the channel can also be analyzed according to other indicators, which are not limited here.
[0109] In a specific embodiment, first, the system analyzes whether the device is cheating based on the hardware features of the activated device. If it is cheating, the IDFA of the cheating device is stored in the history library of the cheating device. Then, the IDFA converted to activation, i.e., Conv_IDFA, is extracted, and the history library of the cheating device is queried. If the IDFA converted to activation falls within the history library of the cheating device, the current Conv_IDFA is judged to be cheating. Then, the amount of cheating in each channel can be obtained based on the above search, and divided by the total number of advertisements viewed in the channel, the cheating rate of each channel can be obtained, thereby evaluating the quality of the channel.
[0110] Figure 3A The flowchart of the attribution method according to another embodiment of the present disclosure is schematically shown.
[0111] like Figure 3A As shown, the present disclosure provides an attribution method, the second device has a second public-private key pair generated by an encryption algorithm that satisfies the exchange characteristic, wherein the second private key in the second public-private key pair can be stored in the second device. The attribution method shown can include operations S301 to S305.
[0112] First, in operation S301, a first encrypted identification set generated by a first device is obtained, wherein the first encrypted identification set is an encrypted identification set obtained by the first device using a first private key to encrypt each identification of the first device identification set. For the process of generating the first encrypted identification set by the first device, reference can be made to the above-mentioned related content, which will not be described in detail here.
[0113] Then, in operation S302, each identifier of the first encryption identifier set is encrypted using the second private key to obtain a second encryption identifier set, and each identifier of the second device identifier set is encrypted using the second private key to obtain a third encryption identifier set; wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristics, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristics.
[0114] Specifically, the second device identification set may include at least one of the following: an advertisement tracking identification set, an IP address set, or a user identification set.
[0115] Next, in operation S303, the second encryption identifier set and the third encryption identifier set are sent to the first device.
[0116] Then, in operation S304, a fourth encrypted identification set is received from the first device, wherein the fourth encrypted identification set is a common device identification set encrypted by the second private key, and the common device identification set is an intersection of the first device identification set and the second device identification set.
[0117] Then, in operation S305, in response to receiving the fourth encrypted identification set sent by the first device, the fourth encrypted identification set is decrypted using the second private key to obtain the shared device identification set, so as to facilitate attribution based on the shared device identification set. The relevant content can refer to the above content and will not be described in detail here.
[0118] It should be noted that, when the first device is an advertising server, the second device is a channel server, and the second device identification set may include at least one of the following: an advertising tracking identification set of devices that view advertisements, an IP address set of devices that view advertisements, or a user identification set of devices that view advertisements.
[0119] When the first device is a channel server, the second device is an advertising server, and the second device identification set may include at least one of the following: an advertising tracking identification set of activated application devices, an IP address set of activated application devices, or a user identification set of activated application devices.
[0120] Preferably, the encryption algorithm satisfying the exchange characteristic includes an ECC encryption algorithm.
[0121] Accordingly, the present disclosure also provides an attribution system, including a first device and a second device.
[0122] Figure 3B The data flow diagram of the attribution method according to the embodiment of the present disclosure is schematically shown. Figure 3B As shown, when the first device is an advertising server and the second device is a channel server, the data flow is as follows.
[0123] In a specific embodiment, first, the advertising server randomly generates a private key of the ECC encryption algorithm and saves it locally. Encrypt historical information, such as the IDFA of each activated device yesterday, and record it as Ad (Active_IDFA).
[0124] Then, the channel server pulls the Ad (Active_IDFA) from the advertising server.
[0125] Next, the channel server randomly generates a private key for the ECC encryption algorithm and saves it locally on the channel server. Encrypt Ad(Active_IDFA) and record it as Un(Ad(Active_IDFA).
[0126] Then, the channel server encrypts the IDFA of each ad viewed on the channel, recorded as Un(Click_IDFA).
[0127] Next, the channel server pushes Un(Click_IDFA) and Un(Ad(Active_IDFA) to the advertising server.
[0128] Then, after the advertising server obtains Un(Click_IDFA), it is encrypted again into Ad(Un(Click_IDFA)) according to the private key of the advertising server.
[0129] Next, the advertising server uses the ECC elliptic algorithm to meet the characteristics of the exchange, namely:
[0130] Un(Ad(Active_IDFA))=Ad(Un(Active_IDFA)), the advertising server matches Un(Ad(Active_IDFA)) and Ad(Un(Click_IDFA)), so that the converted Ad(Un(Conv_IDFA)) can be obtained. Conv_IDFA means that the advertisement of the channel has been viewed and converted into an activated IDFA.
[0131] Then, the advertising server uses the locally stored private key to decrypt Ad(Un(Conv_IDFA)) and obtain Un(Conv_IDFA).
[0132] Next, the channel server pulls Un(Conv_IDFA).
[0133] Then, the channel server decrypts Un(Conv_IDFA) and obtains the plaintext Conv_IDFA.
[0134] Next, the channel server pushes the plaintext Conv_IDFA to the advertising server.
[0135] Then, the ad server obtains the obtained Conv_IDFA, compares the time when the ad was viewed with the Conv_IDFA of other channels, and attributes it to the channel based on the time when the ad was viewed.
[0136] In another specific embodiment, first, the channel server randomly generates a private key of the ECC encryption algorithm and saves it locally. Encrypt historical information, such as the IDFA of each advertisement viewed yesterday, is recorded as Un(Click_IDFA).
[0137] Then, the advertising server pulls Un(Click_IDFA) from the channel server.
[0138] Next, the ad server randomly generates a private key for the ECC encryption algorithm and saves it locally on the ad server. Un(Click_IDFA) is encrypted and recorded as Ad(Un(Click_IDFA)).
[0139] Then, the advertising server encrypts and activates the device IDFA, which is recorded as Ad (Active_IDFA).
[0140] Next, the advertising server pushes Ad(Active_IDFA) and Ad(Un(Click_IDFA)) to the channel server.
[0141] Then, after the channel server obtains Ad(Active_IDFA), it uses the channel server's private key to encrypt it again into Un(Ad(Active_IDFA)).
[0142] Next, the channel server uses the ECC elliptic algorithm to meet the characteristics of the exchange, namely:
[0143] Un(Ad(Active_IDFA))=Ad(Un(Active_IDFA)), the channel server matches Un(Ad(Active_IDFA) and Ad(Un(Click_IDFA)), so that the converted Un(Ad(Conv_IDFA) can be obtained. Conv_IDFA means that the channel's advertisement has been viewed and converted to an activated IDFA.
[0144] Then, the channel server uses the locally stored private key to decrypt Un(Ad(Conv_IDFA) and obtain Ad(Conv_IDFA).
[0145] Next, the ad server pulls Ad(Conv_IDFA).
[0146] Then, the advertising server decrypts Ad(Conv_IDFA) and obtains the plaintext Conv_IDFA.
[0147] Next, the advertising service compares the obtained Conv_IDFA with the Conv_IDFA of other channels to find out the time when the ad was viewed, and attributes it to the channel based on the time when the ad was viewed.
[0148] Figure 3C The flowchart of the attribution method according to another embodiment of the present disclosure is schematically shown.
[0149] like Figure 3CAs shown, the attribution method may further include operation S306. In operation S306, if the second device is an advertising server, after obtaining the common device identification set, cheating analysis is performed according to the common device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device. Specifically, the method for performing anti-cheating analysis is as described above and will not be described in detail here.
[0150] Figure 4A The block diagram of the attribution device according to the embodiment of the present disclosure is schematically shown.
[0151] like Figure 4A As shown, the attribution device 400 may include a first encryption module 410 , a first sending module 420 , a first receiving module 430 , an exchange module 440 and a second sending module 450 .
[0152] The first encryption module 410 is used to encrypt each identifier of the first device identifier set using a first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that meets the exchange characteristics.
[0153] The first sending module 420 is used to send the first encryption identifier set to the second device.
[0154] The first receiving module 430 is used to receive a second encrypted identification set and a third encrypted identification set sent by the second device, wherein the second encrypted identification set is obtained by the second device encrypting each identification of the second device identification set using the second private key, and the third encrypted identification set is obtained by the second device encrypting each first encrypted identification of the first encrypted identification set using the second private key, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristics.
[0155] The exchange module 440 is used to, in response to receiving the second encryption identification set and the third encryption identification set, process the second encryption identification set and the third encryption identification set to obtain a fourth encryption identification set based on the encryption algorithm that satisfies the exchange characteristic, wherein the fourth encryption identification set is a common device identification set encrypted by the second private key, and the common device identification set is the intersection of the first device identification set and the second device identification set.
[0156] The second sending module 450 is used to send the fourth encrypted identification set to the second device, so as to facilitate attribution according to the shared device identification set obtained by decrypting the fourth encrypted identification set by the second device.
[0157] In one embodiment, the first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an IP address set of activated application devices, or a user identification set of activated application devices.
[0158] In another embodiment, the first device identification set includes at least one of the following: an advertisement tracking identification set of devices that view the advertisements, an IP address set of devices that view the advertisements, or a user identification set of devices that view the advertisements.
[0159] The switching module 440 may include a receiving unit, an encryption unit, a switching unit and a decryption unit.
[0160] The receiving unit is used to receive a second encryption identifier set and a third encryption identifier set.
[0161] The encryption unit is used to encrypt the third encryption identification set using the first private key to obtain a fifth encryption identification set.
[0162] The exchange unit is used to obtain a sixth encryption identification set based on exchange characteristics using the second encryption identification set and the fifth encryption identification set, wherein the sixth encryption identification set is the shared device identification set encrypted by the first private key and the second private key.
[0163] The decryption unit is used to decrypt the sixth encrypted identification set using the first private key to obtain the fourth encrypted identification set.
[0164] In yet another embodiment, the attribution device may further include the following modules: a first cheating analysis module 460 .
[0165] The first cheating analysis module 460 is used to perform cheating analysis according to the shared device identifiers and preset cheating device information after obtaining the shared device identifier set if the attribution device is an advertising server, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device.
[0166] Figure 4B The block diagram of the first cheating analysis module according to an embodiment of the present disclosure is schematically shown.
[0167] like Figure 4B As shown, the first cheating analysis module 460 may include a cheating analysis unit 461 , a storage unit 462 , a cheating determination unit 463 , an accumulation unit 464 and an evaluation unit 465 .
[0168] The cheating analysis unit 461 is used to analyze whether the activated application device cheats according to the hardware characteristics of the activated application device.
[0169] The storage unit 462 is used to store the cheating activated application device in the cheating device database.
[0170] The cheating determination unit 463 is used to determine whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database.
[0171] The accumulating unit 464 is used to accumulate the number of cheating times for the channel corresponding to the shared device identifier if yes.
[0172] The evaluation unit 465 is used to evaluate the channel quality according to the number of cheating times of the channel and the number of advertisement viewing times of the channel.
[0173] The present disclosure also provides another attribution package, Figure 4C A block diagram of an attribution device according to another embodiment of the present disclosure is schematically shown.
[0174] like Figure 4C As shown, the attribution device 500 may include a first acquisition module 510 , a second encryption module 520 , a third sending module 530 , a second receiving module 540 and a first decryption module 550 .
[0175] The first acquisition module 510 is used to acquire a first encrypted identification set, wherein the first encrypted identification set is an encrypted identification set obtained by the first device using a first private key to encrypt each identification of the first device identification set.
[0176] The second encryption module 520 is used to encrypt each identifier of the first encryption identifier set using the second private key to obtain a second encryption identifier set, and to encrypt each identifier of the second device identifier set using the second private key to obtain a third encryption identifier set. The first private key is generated according to an encryption algorithm that satisfies the exchange characteristic, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic.
[0177] The third sending module 530 is used to send the second encryption identifier set and the third encryption identifier set to the first device.
[0178] The second receiving module 540 is used to receive a fourth encrypted identification set from the first device, wherein the fourth encrypted identification set is a common device identification set encrypted by the second private key, and the common device identification set is the intersection of the first device identification set and the second device identification set.
[0179] The first decryption module 550 is used to, in response to receiving the fourth encrypted identification set sent by the first device, decrypt the fourth encrypted identification set using the second private key to obtain the shared device identification set, so as to facilitate attribution based on the shared device identification set.
[0180] The second device identification set includes at least one of the following: an advertisement tracking identification set, an IP address set or a user identification set.
[0181] In one embodiment, when the first device is an advertising server, the second device is a channel server, and the second device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, an IP address set of devices that view advertisements, or a user identification set of devices that view advertisements.
[0182] In another embodiment, when the first device is a channel server, the second device is an advertising server, and the second device identification set includes at least one of the following: an advertising tracking identification set of activated application devices, an IP address set of activated application devices, or a user identification set of activated application devices.
[0183] Preferably, the encryption algorithm satisfying the exchange characteristic is an elliptic curve encryption algorithm.
[0184] In addition, the attribution device may further include a second cheating analysis module 560, which may be the same as or different from the first cheating analysis module 460. For example, the second cheating analysis module 560 may include: a cheating analysis unit, a storage unit, a cheating determination unit, an accumulation unit and an evaluation unit.
[0185] The cheating analysis unit, the storage unit, the cheating determination unit, the accumulation unit and the evaluation unit may be the same as the units in the first cheating analysis module 460, and will not be described in detail here.
[0186] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be performed.
[0187] For example, any multiple of the first encryption module 410, the first sending module 420, the first receiving module 430, the exchange module 440, the second sending module 450, the first acquisition module 510, the second encryption module 520, the third sending module 530, the second receiving module 540, and the first decryption module 550 may be combined in one module for implementation, or any one of the modules may be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules may be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first encryption module 410, the first sending module 420, the first receiving module 430, the switching module 440, the second sending module 450, the first acquisition module 510, the second encryption module 520, the third sending module 530, the second receiving module 540 and the first decryption module 550 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or can be implemented in any one of the three implementation methods of software, hardware and firmware or in an appropriate combination of any of them. Alternatively, at least one of the first encryption module 410, the first sending module 420, the first receiving module 430, the exchange module 440, the second sending module 450, the first acquisition module 510, the second encryption module 520, the third sending module 530, the second receiving module 540 and the first decryption module 550 can be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is executed.
[0188] Figure 5 A block diagram of a device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. Figure 5 The device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.
[0189] like Figure 5 As shown, the device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include an onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.
[0190] In RAM 603, various programs and data required for the operation of device 600 are stored. Processor 601, ROM 602 and RAM 603 are connected to each other through bus 604. Processor 601 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 602 and / or RAM 603. It should be noted that the program can also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.
[0191] According to an embodiment of the present disclosure, the device 600 may further include an input / output (I / O) interface 605, which is also connected to the bus 604. The device 600 may further include one or more of the following components connected to the I / O interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.
[0192] According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the device of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the equipment, devices, modules, units, etc. described above can be implemented by computer program modules.
[0193] The present disclosure also provides a computer-readable medium, which may be included in the device / apparatus described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.
[0194] According to an embodiment of the present disclosure, a computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, optical cable, radio frequency signal, etc., or any suitable combination of the above.
[0195] For example, according to an embodiment of the present disclosure, the computer-readable medium may include the ROM 602 and / or the RAM 603 described above and / or one or more memories other than the ROM 602 and the RAM 603 .
[0196] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0197] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.
[0198] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.
Claims
1. An attribution method, comprising: Encrypting each identifier of the first device identifier set using a first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic; Sending the first encryption identifier set; Receive a second encrypted identification set and a third encrypted identification set, wherein the second encrypted identification set is obtained by encrypting each identification of the second device identification set using a second private key, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic; wherein each third encrypted identification of the third encrypted identification set is obtained by encrypting each identification of the first encrypted identification set using the second private key; In response to receiving the second encryption identification set and the third encryption identification set, based on the encryption algorithm that satisfies the exchange characteristic, processing the second encryption identification set and the third encryption identification set to obtain a fourth encryption identification set, wherein the fourth encryption identification set is a shared device identification set encrypted by the second private key; and Sending the fourth encrypted identification set to facilitate attribution based on the shared device identification set obtained by decrypting the fourth encrypted identification set; The method further comprises: After obtaining the shared device identification set, performing cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device; The anti-cheating analysis of the activated application device includes: analyzing whether the activated application device is cheating according to the hardware characteristics of the activated application device, the retention curve of the user, the ratio of the latest operating system, and the ratio of wireless local area network connection; storing the cheating activated application device in the cheating device database; The cheating analysis according to the shared device identifier and the preset cheating device information includes: determining whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database; if yes, accumulating the number of cheating times for the channel corresponding to the shared device identifier; and evaluating the channel quality according to the number of cheating times of the channel and the number of advertisement viewing times of the channel; in: The first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an Internet protocol address set of activated application devices, or a user identification set of activated application devices; or The first device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, an Internet Protocol address set of devices that view advertisements, or a user identification set of devices that view advertisements, wherein the user identification set is a special string header used to identify the operating system and version, browser and version used by the user.
2. The method according to claim 1, wherein: The encryption algorithm that satisfies the exchange characteristic includes an elliptic curve encryption algorithm.
3. The method according to claim 2, wherein: In response to receiving the second encryption identification set and the third encryption identification set, based on the encryption algorithm that satisfies the exchange characteristic, processing the second encryption identification set and the third encryption identification set to obtain a fourth encryption identification set includes: Receiving a second encryption identification set and a third encryption identification set; Encrypting the third encrypted identification set using the first private key to obtain a fifth encrypted identification set; Obtaining a sixth encryption identification set based on the encryption algorithm that satisfies the exchange characteristic by using the second encryption identification set and the fifth encryption identification set, wherein the sixth encryption identification set is the shared device identification set encrypted by the first private key and the second private key; and The sixth encrypted identification set is decrypted using the first private key to obtain the fourth encrypted identification set.
4. An attribution method, the method comprising: Acquire a first encrypted identification set, wherein the first encrypted identification set is an encrypted identification set obtained by encrypting each identification of the first device identification set using a first private key; Encrypting each identifier of the first encrypted identifier set using a second private key to obtain a second encrypted identifier set, and encrypting each identifier of the second device identifier set using a second private key to obtain a third encrypted identifier set; wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic; Sending the second encryption identifier set and the third encryption identifier set; receiving a fourth encrypted identification set, wherein the fourth encrypted identification set is a shared device identification set encrypted by the second private key; and In response to receiving the fourth encrypted identification set, decrypting the fourth encrypted identification set using the second private key to obtain the shared device identification set, so as to facilitate attribution based on the shared device identification set; The method further comprises: After obtaining the shared device identification set, performing cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device; The anti-cheating analysis of the activated application device includes: analyzing whether the activated application device is cheating according to the hardware characteristics of the activated application device, the retention curve of the user, the ratio of the latest operating system, and the ratio of wireless local area network connection; storing the cheating activated application device in the cheating device database; The cheating analysis according to the shared device identifier and the preset cheating device information includes: determining whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database; if yes, accumulating the number of cheating times for the channel corresponding to the shared device identifier; and evaluating the channel quality according to the number of cheating times of the channel and the number of advertisement viewing times of the channel; in: The first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an Internet protocol address set of activated application devices, or a user identification set of activated application devices; or The first device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, an Internet Protocol address set of devices that view advertisements, or a user identification set of devices that view advertisements, wherein the user identification set is a special string header used to identify the operating system and version, browser and version used by the user.
5. An attribution device, comprising: A first encryption module, configured to encrypt each identifier of the first device identifier set using a first private key to obtain a first encrypted identifier set, wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic; A first sending module, used for sending the first encryption identifier set; A first receiving module, configured to receive a second encrypted identification set and a third encrypted identification set, wherein the second encrypted identification set is obtained by encrypting each identification of the second device identification set using a second private key, and the third encrypted identification set is obtained by encrypting each first encrypted identification of the first encrypted identification set using the second private key, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic; an exchange module, configured to, in response to receiving the second encryption identification set and the third encryption identification set, process the second encryption identification set and the third encryption identification set based on the encryption algorithm that satisfies the exchange characteristic to obtain a fourth encryption identification set, wherein the fourth encryption identification set is a common device identification set encrypted by the second private key; A second sending module, used for sending the fourth encrypted identification set, so as to facilitate attribution according to the shared device identification set obtained by decrypting the fourth encrypted identification set; The device also includes: a first cheating analysis module, configured to, after obtaining the shared device identification set, perform cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device; The anti-cheating analysis of the activated application device includes: analyzing whether the activated application device is cheating according to the hardware characteristics of the activated application device, the retention curve of the user, the ratio of the latest operating system, and the ratio of wireless local area network connection; storing the cheating activated application device in the cheating device database; The cheating analysis according to the shared device identifier and the preset cheating device information includes: determining whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database; if yes, accumulating the number of cheating times for the channel corresponding to the shared device identifier; and evaluating the channel quality according to the number of cheating times of the channel and the number of advertisement viewing times of the channel; in: The first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an Internet protocol address set of activated application devices, or a user identification set of activated application devices; or The first device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, an Internet Protocol address set of devices that view advertisements, or a user identification set of devices that view advertisements, wherein the user identification set is a special string header used to identify the operating system and version, browser and version used by the user.
6. An attribution device, comprising: A first acquisition module, configured to acquire a first encrypted identification set, wherein the first encrypted identification set is an encrypted identification set obtained by encrypting each identification of the first device identification set using a first private key; a second encryption module, configured to encrypt each identifier of the first encryption identifier set using a second private key to obtain a second encryption identifier set, and to encrypt each identifier of the second device identifier set using a second private key to obtain a third encryption identifier set; wherein the first private key is generated according to an encryption algorithm that satisfies the exchange characteristic, and the second private key is generated according to an encryption algorithm that satisfies the exchange characteristic; A third sending module, used for sending the second encryption identifier set and the third encryption identifier set; A second receiving module is configured to receive a fourth encrypted identification set, wherein the fourth encrypted identification set is a shared device identification set encrypted by the second private key; and a first decryption module, configured to, in response to receiving the fourth encrypted identification set, decrypt the fourth encrypted identification set using the second private key to obtain the shared device identification set, so as to facilitate attribution according to the shared device identification set; The device also includes: a second cheating analysis module, configured to, after obtaining the shared device identification set, perform cheating analysis according to the shared device identification and preset cheating device information, wherein the cheating device information is obtained by activating anti-cheating analysis of the application device; The anti-cheating analysis of the activated application device includes: analyzing whether the activated application device is cheating according to the hardware characteristics of the activated application device, the retention curve of the user, the ratio of the latest operating system, and the ratio of wireless local area network connection; storing the cheating activated application device in the cheating device database; The cheating analysis according to the shared device identifier and the preset cheating device information includes: determining whether the channel corresponding to the shared device identifier is cheating according to the shared device identifier and the cheating device database; if yes, accumulating the number of cheating times for the channel corresponding to the shared device identifier; and evaluating the channel quality according to the number of cheating times of the channel and the number of advertisement viewing times of the channel; in: The first device identification set includes at least one of the following: an advertisement tracking identification set of activated application devices, an Internet protocol address set of activated application devices, or a user identification set of activated application devices; or The first device identification set includes at least one of the following: an advertising tracking identification set of devices that view advertisements, an Internet Protocol address set of devices that view advertisements, or a user identification set of devices that view advertisements, wherein the user identification set is a special string header used to identify the operating system and version, browser and version used by the user.
7. A device comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 4 is implemented.
8. A computer-readable medium having executable instructions stored thereon, which, when executed by a processor, implement the method according to any one of claims 1 to 4.
9. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 4.
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