Privacy protection method based on logistics data of Internet of Things equipment

Abstract

The invention provides a privacy protection method based on logistics data of Internet of Things equipment. The method comprises the following steps: collecting the logistics data through the Internet of Things equipment; preprocessing the logistics data; carrying out encryption processing on the preprocessed logistics data; carrying out recombination on the encrypted logistics data; express delivery; separating partial information; and decrypting the data and destroying the secret key. According to the invention, the privacy data needing to be kept secret in the logistics data collected by the logistics equipment can be protected, and leakage of important information is prevented. Encryption and decryption are carried out on the platform, and the terminal does not download the key, so that the data security is further ensured. Based on the method, the transfer address and the article information can be collected for later classification statistics, and the logistics system performance and personnel distribution can be improved. The logistics data can be traced to the source by adopting a data separation mode with a time identifier.

Description

Technical Field

[0001] This invention belongs to the field of logistics technology, specifically relating to a method for protecting the privacy of logistics data based on Internet of Things (IoT) devices. Background Technology

[0002] The booming development of e-commerce has spurred the growth of a series of related industries, with the express delivery industry being one of the most obvious beneficiaries. However, the large number of express delivery slips generated during online shopping has become a channel for the leakage of personal privacy. It is not uncommon for some express delivery companies to openly sell express delivery slip information online at marked prices. Compared to the personal information leaked by traditional industries such as real estate and banking, express delivery slips contain more complete personal information such as names, addresses, and contact information, posing a greater potential for social harm and easily breeding various criminal offenses. The reason for this is that while e-commerce allows for peer-to-peer transactions through internet platforms, logistics and express delivery still rely on forms. The information for the sender and recipient, along with order details, is printed separately on the order details sheet. On the one hand, both parties involved in the transaction need to expose their privacy to the express delivery industry to complete the transaction; on the other hand, regulatory agencies still need to rely on manual methods for logistics tracking and delivery management.

[0003] Existing technologies include methods to conceal key sender and recipient information on waybills. While this can prevent privacy leaks during shipment, the lack of data processing during logistics transmission means this data remains accessible to system operators and courier staff. Given the large number of people involved in the industry, this has led to persistent privacy breaches for a considerable period. Therefore, new technologies are needed to protect the privacy of courier waybills and manage logistics tracking and delivery. Currently, there is no satisfactory solution to this problem. Summary of the Invention

[0004] To address the shortcomings of existing logistics privacy protection methods, this invention proposes a privacy protection method based on logistics data from IoT devices. This method can protect the privacy of sender and recipient information, perform separate statistical analysis on some data, and enable data backtracking.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] A privacy protection method for logistics data from IoT devices includes the following steps:

[0007] S1 collects logistics data through IoT devices.

[0008] Collect recipient information, sender information, logistics transit information, and basic product information;

[0009] S2, Preprocessing logistics data

[0010] The shipping platform breaks down the logistics data into: sender privacy information, recipient privacy information, transit information, and the remainder is other information;

[0011] S3 encrypts the pre-processed logistics data.

[0012] The sender's privacy information and the recipient's privacy information that need to be kept confidential obtained in step S2 are encrypted.

[0013] S4, reconstructs the encrypted logistics data.

[0014] The encrypted privacy information from step S3 is combined with transit information and other information in the logistics data, and status and time identifiers are added.

[0015] S5: Parcel Delivery

[0016] When an item is delivered to its destination area, the delivery platform decrypts the recipient's privacy information in the logistics data to obtain the delivery address information for the package.

[0017] The courier logs into the platform through an IoT terminal for authentication. When the authentication is successful, the courier's current location is obtained through the terminal device carried by the courier. When the courier has delivery authority in the delivery area where the item is to be delivered and the current location is within a certain distance from the delivery area, the courier's terminal is allowed to download the recipient data and other information from the logistics information from the delivery platform and change the status identifier of the logistics data.

[0018] Once a normal delivery and receipt are completed, the receipt status is reported through the terminal, and the delivery platform changes the status flag of the logistics data.

[0019] S6, Separation of Partial Information

[0020] After a period of time since the package was signed for, the transit information and item information are separated from the logistics data and stored separately, while the remaining logistics data is encrypted and stored as a whole; the separated transit information and item information are used for data classification and statistics.

[0021] S7, Decrypt data and destroy the key.

[0022] Delete / destroy all unencrypted logistics data within a certain period after receipt, as well as the decrypted logistics data during transit and delivery, and delete / destroy the key used for decryption.

[0023] Furthermore, in step S4, when assembling the combined data stream, the sender's privacy information, recipient's privacy information, transit information, other information, status identifier, and time identifier are connected in sequence.

[0024] Furthermore, in step S5, when the courier initiates a request to contact the sender through the delivery platform via the terminal, the delivery platform decrypts the sender's privacy information in the express logistics data, and the courier downloads the sender's information through the terminal.

[0025] Furthermore, in step S5, when the delivery of the package encounters other states, the delivery platform changes the status identifier of the logistics data to an appropriate value.

[0026] Furthermore, the time stamp in the logistics information is encrypted and stored separately from the transit information and the item information, that is, transit information + encrypted time stamp, and item information + encrypted time stamp are stored.

[0027] The beneficial effects of this invention are as follows:

[0028] This invention protects confidential data collected by logistics equipment, preventing the leakage of important information. Encryption and decryption are performed on the platform; the terminal does not download the key, further ensuring data security. Based on this invention, transit addresses and item information can be collected for later classification and statistics, helping to improve logistics system performance and personnel allocation. The time-stamped data separation method used in this invention enables traceability of logistics data. Attached Figure Description

[0029] Figure 1 A flowchart illustrating the privacy protection method for logistics data from IoT devices provided by this invention. Detailed Implementation

[0030] The technical solutions provided by the present invention will be described in detail below with reference to specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0031] This invention provides a privacy protection method based on logistics data from IoT devices. During the logistics and express delivery process, privacy is protected through information decomposition. The sender's and recipient's privacy information is stored in the system, while the surface of the goods does not specifically display this information. During delivery, the logistics and express delivery process is completed through the interaction of identification data, IoT device terminals, and a blockchain network, thus preventing the leakage of the sender's and recipient's privacy information. The flowchart is as follows. Figure 1 As shown.

[0032] S1: Collect logistics data through IoT devices.

[0033] IoT devices include commonly used terminal devices that connect to the Internet of Things, such as PDAs and mobile phones. The initiator of a logistics transaction inputs logistics information on the terminal device, such as recipient information, sender information, logistics transit information, and basic product information. Sender information includes address, phone number, and name; recipient information includes the recipient's address, phone number, and name. Other information includes payment method, whether insurance is purchased, and its amount. The terminal device then sends the generated information to the backend system. Therefore, IoT devices can collect logistics data, which contains a large amount of confidential information, such as recipient information, sender information, and confidential product information. There is also logistics transit information and other non-confidential product information; transit information is information that does not involve user privacy during the logistics transit process.

[0034] S2: Preprocess logistics data

[0035] The shipping platform breaks down recipient information, sender information, logistics transit information, and basic product information to identify confidential information and non-confidential information. Within the confidential information, it further separates it into recipient and sender privacy information. The system then breaks down logistics data D into the following data:

[0036] d a This includes sender privacy information that needs to be kept confidential, such as name, phone number, address, etc. This information needs to be strongly protected and should be processed through encryption algorithms. The recipient can only access this information after being authorized.

[0037] d b This information is for the recipient's privacy and also needs to be kept confidential. It is similar in format to that of the sender and generally includes information such as phone number, name, and address. This information needs to be strongly protected and should be encrypted so that the delivery person can only read it with authorization.

[0038] d t Transit information, often including the originating and receiving areas of a shipment, facilitates its transit. This information itself doesn't require protection, but linking transit-related data to the sender and recipient could partially compromise their privacy. Therefore, this invention opens the transit information during the transit process and separates it from other information for independent collection some time after delivery.

[0039] d o Other information, such as waybill number, item type, and item weight, is mainly related to the logistics system or the item being shipped. This information does not need to be kept confidential. Preferably, item-related information is collected independently from other information some time after delivery.

[0040] Once transit information, item information, and specific senders and recipients are completely separated, they can be incorporated into a big data system for later data statistics.

[0041] S3 encrypts the split logistics data.

[0042] The sending platform encrypts the sender's and recipient's privacy information, which needs to be kept confidential, obtained in step S2. Most public-key encryption methods can be used; in this example, the SHA algorithm is employed.

[0043] Platform privacy information a Encrypted as d′ a =SHA(d a s a ), where SHA represents the application key s a Information d a The SHA algorithm used for processing, d′ a For information d a The SHA value. Similarly, for d... b Encrypted as d′ b =SHA(d b s b ).

[0044] S4, reconstructs the encrypted logistics data.

[0045] The encrypted privacy information is combined with other information from the logistics data, and a status identifier ("0" for not shipped, "1" for transit, "2" for delivery, "3" for signed for, "4" for return, "5" for returned, "6" for interrupted, and "9" for terminated; these are just examples and can be adjusted as needed) and a time identifier (preferably generated by combining the sending time with a unique code to ensure its uniqueness) are added. The combination can use d′. a d′ a d t The information 'd', 'state', and 'time' are connected sequentially. The state identifier for logistics data is "0".

[0046] After the logistics data is reorganized, the package enters the transportation and delivery stage. The data processing (which may also include data encryption and decryption) during the logistics stage transfer process in this invention is largely the same as in existing technologies, and will not be described in detail here. The difference is that during the transfer process, the status identifier "state" of the logistics data is changed to "1".

[0047] S5: Parcel Delivery

[0048] When an item is delivered to its destination, the delivery platform decrypts the recipient's private information in the logistics data to obtain the delivery address information. The delivery area is divided into several delivery zones, and the delivery zone to which the item belongs is determined based on the item's delivery address information. The courier logs into the platform via an IoT terminal for authorization. Once authentication is successful, the courier's current location is obtained through their device. Only when the courier has delivery authority within the delivery zone corresponding to the item's location and their current location is within a certain distance of that zone, are the courier's terminal allowed to download the recipient's data and other information from the logistics information from the delivery platform, and the logistics data's status flag "state" is changed to "2".

[0049] Once a delivery is successfully completed and signed for, the courier reports the delivery status via their terminal, and the delivery platform changes the status flag of the logistics data to "3".

[0050] When a problem arises during delivery and the courier needs to contact the sender, the courier initiates a request to the delivery platform through their terminal. The delivery platform decrypts the sender's private information in the package's logistics data, and the courier downloads the sender's information through their terminal, thus enabling them to make contact.

[0051] When a package encounters other statuses during delivery, the delivery platform will change the status flag of the logistics data to an appropriate value.

[0052] S6, Separation of Partial Information

[0053] After a period of time following the receipt of a package, the system separates transit information and item information from the logistics data. This involves deleting these two information from the overall logistics data and storing them separately, while encrypting the remaining logistics data before storing it. The separated transit and item information can then be categorized and statistically analyzed, which helps improve logistics system performance and personnel allocation.

[0054] As a preferred approach, the timestamps in the logistics information can be encrypted and stored separately from the transit information and item information. That is, transit information plus the encrypted timestamp, and item information plus the encrypted timestamp can be stored. This allows for the reconstruction of the logistics data before separation using a common timestamp, enabling data backtracking. As a further improvement, the status identifiers in the logistics data can also be separated for later data classification. The status identifier can be combined with the timestamp using predetermined rules (e.g., the position of the value in the timestamp, with "0" inserted before the timestamp), then encrypted using an encryption algorithm. The encrypted data is then stored separately from the transit and item information. This multi-processed timestamp, even if decrypted, is difficult for external personnel to identify and use for backtracking the complete data.

[0055] Of course, logistics data for packages that were not properly signed for (such as those that have been returned, terminated, or interrupted) can also be separated for statistical purposes.

[0056] S7, Decryption and Data Destruction

[0057] All unencrypted logistics data will be deleted / destroyed within a specified time after receipt, including logistics data that was not encrypted when the package was sent, as well as logistics data that has been decrypted during transit and delivery. The decryption key will also be deleted / destroyed.

[0058] It should be noted that the above content merely illustrates the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. For those skilled in the art, various improvements and modifications can be made without departing from the principle of the present invention, and all such improvements and modifications fall within the scope of protection of the claims of the present invention.

Claims

1. A privacy protection method for logistics data based on Internet of Things (IoT) devices, characterized in that, It includes the following steps: S1 collects logistics data through IoT devices. Collect recipient information, sender information, logistics transit information, and basic product information; S2, Preprocessing logistics data The shipping platform breaks down the logistics data into: sender privacy information, recipient privacy information, transit information, and the remainder is other information; S3 encrypts the pre-processed logistics data. The sender's privacy information and the recipient's privacy information that need to be kept confidential obtained in step S2 are encrypted. S4, Reconstruct the encrypted logistics data The encrypted privacy information from step S3 is combined with transit information and other information in the logistics data, and status and time identifiers are added. S5: Parcel Delivery When an item is delivered to its destination area, the delivery platform decrypts the recipient's privacy information in the logistics data to obtain the delivery address information for the package. The courier logs into the platform through an IoT terminal for authentication. When the authentication is successful, the courier's current location is obtained through the terminal device carried by the courier. When the courier has delivery authority in the delivery area where the item is to be delivered and the current location is within a certain distance from the delivery area, the courier's terminal is allowed to download the recipient data and other information from the logistics information from the delivery platform and change the status identifier of the logistics data. Once a normal delivery and receipt are completed, the receipt status is reported through the terminal, and the delivery platform changes the status flag of the logistics data. S6, Separation of Partial Information After a period of time since the package was signed for, the transit information and item information are separated from the logistics data and stored separately, while the remaining logistics data is encrypted and stored as a whole; the separated transit information and item information are used for data classification and statistics. S7, Decryption of data and destruction of the key. Delete / destroy all unencrypted logistics data within a certain period after receipt, as well as the decrypted logistics data during transit and delivery, and delete / destroy the key used for decryption.

2. The privacy protection method for logistics data based on IoT devices according to claim 1, characterized in that, In step S4, when combining the combined data stream, the sender's privacy information, recipient's privacy information, transit information, other information, status identifier, and time identifier are connected in sequence.

3. The privacy protection method for logistics data based on IoT devices according to claim 1, characterized in that, In step S5, when the courier initiates a request to contact the sender through the delivery platform via the terminal, the delivery platform decrypts the sender's privacy information in the express logistics data, and the courier downloads the sender's information through the terminal.

4. The privacy protection method for logistics data based on IoT devices according to claim 1, characterized in that, In step S5, when the delivery of the package encounters other states, the delivery platform changes the status identifier of the logistics data to an appropriate value.

5. The privacy protection method for logistics data based on IoT devices according to claim 1, characterized in that, The time stamp in the logistics information is encrypted and stored separately from the transit information and the item information. That is, transit information + encrypted time stamp and item information + encrypted time stamp are stored.

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