Authenticity determination method for product and website

Abstract

To provide an authenticity determination method for a product and a website for safely contributing to a product transaction by easily, quickly and inexpensively achieving a general website authenticity determination for the product, mail order sites, or the like handling the product even without a special device nor specialized knowledge.SOLUTION: An authenticity determination method for a product and websites includes an identification information generation step for generating identification information showing that a prescribed product or website is a genuine product manufactured by a manufacturer himself / herself, an identification information reading and registration step for registering the identification information generated in the identification information generation step in a database, an identification range definition step for allowing a determination requester to specify information on a concrete product or website to receive a determination as to whether or not to be a genuine product, and a determination step for comparing information on the product or website specified by the determination requester with the identification information to determine whether or not to be a genuine product.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a method for determining the authenticity of products and websites such as e-commerce sites by analyzing the image connection of a plurality of traces, for example.

Background Art

[0002] Measures against counterfeits are most effective in creating a situation where "even if made, they cannot be sold". Currently, the main approach is from the aspect of "non-replicable" by showing special labels, imprints, etc. on the products. However, individual labels, etc. can be counterfeited to at least the level of misleading the general public. Even if a complete replication is impossible, that is a different issue from "not misleading". If the counterfeiting is at the "misleading" level, it leads to purchases, and thereby the counterfeiter obtains profits and continues counterfeiting. The important thing is to cut off this chain of "misunderstanding" and create a situation where "even if made, they cannot be sold".

[0003] And since this "misunderstanding" occurs in the general public on the purchasing side, a defensive means is necessary for the general public not to misunderstand on their own. Since this is something to be given to the general public without specialized knowledge and without special equipment, it must be a method that can simply and objectively determine whether it is a counterfeit.

[0004] This method aims to prevent the occurrence of "misunderstanding" at the root of counterfeit sales and to relieve the difficulties of all parties concerned who are troubled by counterfeits by providing a mechanism that enables the general public to simply and objectively determine the authenticity of products and websites.

[0005] In addition, in recent years, product purchases are often made through Internet shopping. In this case, even if it is not possible to confirm the authenticity of the product itself in advance, it is necessary to complement the prevention of counterfeit purchases by providing a method that can easily confirm that the e-commerce site handling it is a genuine site rather than a so-called fake site.

Prior Art Documents

Patent Document

[0006]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0007] Therefore, in view of the above problems, the present invention aims to provide a method for authenticating products and websites that contributes to the safety of commodity transactions by simply, quickly, and inexpensively authenticating the authenticity of general websites such as products and e - commerce sites handling them without special devices or specialized knowledge.

Means for Solving the Problems

[0008] The present invention is a method for authenticating products and websites, comprising: an identification information generation step for generating identification information indicating that a predetermined product or website is an authentic product manufactured by the manufacturer himself; an identification information reading and registration step for registering the identification information generated in the identification information generation step in a database; an identification range definition step for a determination requester to specify information about a specific product or website and receive a determination as to whether it is an authentic product; and a determination step for comparing the information about the product or website specified by the determination requester with the identification information to determine whether it is an authentic product.

[0009] In this case, the identification information is preferably graphic information formed by connecting feature points of a plurality of manifestation information in a product or website.

[0010] In this case, the graphic information presents a plurality of identification representations in different positional relationships for each product or website, and is preferably made different for each product or website.

[0011] In this case, it is preferable that the identification information includes data and display images associated with the URL of the genuine website, and polygonal information formed by connecting the display image of the URL of the site displayed on a predetermined browser and the feature points of the image of the site screen displayed on the browser.

Advantages of the Invention

[0012] According to the present invention, even without special devices or specialized knowledge, it is possible to contribute to the safety of commodity transactions by simply, quickly, and inexpensively determining the authenticity of general websites such as products and e-commerce sites that handle them.

Brief Description of the Drawings

[0013]

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[0014] [First Embodiment] The method for determining the authenticity of products and websites according to the first embodiment of the present invention will be described with reference to the drawings. In the first embodiment, the method for determining the authenticity of "parts" will be described.

[0015] [1. Authenticity Determination Device] As shown in FIG. 1, the authenticity determination device 10 of the product (hereinafter, appropriately referred to as the "authenticity determination device") mainly includes an identification information generation unit 12, an identification information reading and registration unit 14, an identification range definition unit 16, and a determination unit 18. Note that the authenticity determination device 10 may include other configurations of these units.

[0016] Also, the authenticity determination device can also be expressed as an authenticity determination system, an authenticity determination process, or an authenticity determination step. Also, the identification information generation unit can also be expressed as an identification information generation process or an identification information generation step. The identification information reading and registration unit can also be expressed as an identification information reading and registration process or an identification information reading and registration step. The identification range definition unit can also be expressed as an identification range definition process or an identification range definition step. The determination unit can also be expressed as a determination process or a determination step.

[0017] The identification information generation unit 12 is a device or process for generating a "unique trace" indicating that the product or the like was indeed manufactured by the manufacturer himself.

[0018] The identification information reading and registration unit 14 is a device or process for processing the identification information generated by the identification information generation unit 12 to such an extent that it can be used for providing an authenticity determination service for products or the like easily and registering it in a database.

[0019] The identification range definition unit 16 is a device or process for a person who wishes to determine the authenticity of a target product or the like in the market to specifically make a determination request. Even before the actual comparison and determination are performed in the determination unit 18, it may be determined to be a counterfeit only by this device or process.

[0020] The determination unit 18 is a device or process for comparing the "unique trace" information of the identification information generation unit 12 registered in the database that has received the determination request from the identification range definition unit 16 with the sent information to determine the authenticity of the product or the like, and returning the result to the requester.

[0021] Next, the overall flow of the product authenticity determination method will be described.

[0022] [Processing in the Identification Information Generation Unit] As shown in FIG. 2, in step 100, the identification information generation unit 12 assigns an individual identification number label for products, etc. by the manufacturer. In step 102, the identification information generation unit 12 generates a "unique trace" of the product, etc.

[0023] [Processing in the identification information reading and registration unit] As shown in FIG. 2, in step 104, the identification information reading and registration unit 14 executes image acquisition and analysis of the "unique trace". In step 106, the identification information reading and registration unit 14 processes the "trace image" for service processing. In step 108, the identification information reading and registration unit 14 registers it in the database of information required for authenticity determination.

[0024] As described above, in the processing of the identification information generation unit 12 and the identification information reading and registration unit 14 up to steps 100 to 108, the creation and registration of product identification information by the manufacturer are completed.

[0025] [Processing in the identification range definition unit] As shown in FIG. 2, in step 110, the product information observation process by the purchaser is executed. In step 112, the identification range definition unit 16 determines the presence or absence of the product individual identification number. If there is no product individual identification number, in step 114, the identification range definition unit 16 determines that it is a counterfeit product. On the other hand, if there is a product individual identification number, in step 116, the identification range definition unit 16 requests a determination via the dedicated identification site using the individual identification label description number as a trigger. Up to here corresponds to the preparatory actions of the purchaser.

[0026] Next, in step 118, the identification range definition unit 16 performs the first determination process at the identification site. In step 120, the identification range definition unit 16 determines whether there is a corresponding number in the collation site database. If it is determined that there is no corresponding number in the collation site database, in step 122, the identification range definition unit 16 sends a message to the requester indicating that it is a counterfeit. On the other hand, if it is determined that there is a corresponding number in the collation site database, in step 124, the identification range definition unit 16 sends a photography application to the requester. The above is what corresponds to the first determination at the identification site.

[0027] Next, in step 126, the "trace" photography process by the purchaser is executed. In step 128, the identification range definition unit 16 photographs the "trace" assisted by the photography application. In step 130, the identification range definition unit 16 determines whether the image fits within the photography application's photography frame and is automatically sent to the site. If it is not automatically sent to the site, in step 132, the identification range definition unit 16 sends a message to the requester indicating that it is a counterfeit. On the other hand, if it is automatically sent to the site, the process proceeds to the process in the determination unit 18. The above is what corresponds to the authenticity determination request of the purchaser.

[0028] [Processing in the determination unit] As shown in FIG. 2, in step 134, the determination unit 18 performs the final determination at the identification site. In step 136, the determination unit 18 collates the database-registered photograph associated with the individual identification ticket number with the sent photograph. In step 138, it is determined whether the "traces" of the two photographs match. If the "traces" of the two photographs do not match, in step 140, the determination unit 18 sends a message to the requester indicating that it is a counterfeit. On the other hand, if the "traces" of the two photographs match, in step 142, the determination unit 18 sends a message to the requester indicating that it is a genuine product. The above is what corresponds to the final determination at the identification site.

[0029] Next, each part of the genuine and fake determination device for products and websites will be described in detail.

[0030] [1-1: Process in the identification information generation unit] The identification information generation unit 12 is configured to artificially create unique identification information for individual products and the like.

[0031] The unique identification information does not refer to the information (such as so-called labels, barcodes, visible information including imprints, serial numbers, trademark graphics, text data) that is presented on the products and the like themselves that are the objects of genuine and fake determination, but rather refers to the graphic information formed by connecting the feature points of these multiple pieces of presented information.

[0032] The above graphic information serves as the basis for providing a simple genuine and fake determination service assuming the use by the general public. However, for this purpose, it must be clear "which product is to be determined". Therefore, in order to clarify the identity between the individual product from which the graphic information serving as a trace is collected and the request target, it is recorded in association with the individual information (such as serial numbers, information on unique numbers and symbols given to distinguish that product from other products) given for the product management of the individual product and the like.

[0033] The uniqueness in the identification information generation unit 12 lies not in the identification information itself, but in presenting a plurality of identification characteristics such as labels in different positional relationships for each product, and thus making the graphic information formed by connecting the feature points different.

[0034] That is, generally, the difficulty of replicating the identification characteristic itself (for example, the presentation of identification information by a hologram seal) is used as the identification criterion for genuine and fake determination. In contrast, the method according to this embodiment does not use each individual identification characteristic or its presentation means (medium) itself as the genuine and fake determination criterion, but rather makes the graphic information formed by the feature points of a plurality of presentation characteristics (media), for example, by making the pasting positions of two labels different for each product, so that each product can easily have unique identification information for each. This is what makes it unique.

[0035] Although there are almost countless feature points (indicating the vertices of a figure) that form the basis of figure information, the AI selects them based on the ease of extraction and the shape of the figure to be formed, and extracts them within a reasonable range. The accuracy of this feature point extraction is directly related to the accuracy in authenticity determination, but at the same time, it is necessary to consider the increase in the error rate. Therefore, it is practical to set the determination accuracy at about 90 - 95%, which is equivalent to general face recognition. After setting a determination test period according to the form of the representation when adopting this method, reasonable parameters are set.

[0036] The unique information (figure information) is generated randomly when identifying information is presented on the product. Therefore, since those attempting to counterfeit cannot know this figure information in advance, it can be considered practically impossible to generate exactly the same identifying information (figure information) on a counterfeit product.

[0037] When a counterfeiter tries to photograph and replicate the entire set of multiple identifying representations, it may seem that the (relative) positional relationship of each form (of the feature points) on the form can be reproduced on the surface. However, the fact that representations that were originally separate physical entities become one physical representation as a whole serves as an identification criterion for counterfeiting itself. Even if the counterfeiter attempts to avoid this by performing decomposition acts such as cutting out each representation for reproduction, since it is practically impossible to reproduce the original figure information, the purpose of counterfeiting cannot be achieved.

[0038] Next, the identification information creation pattern will be explained.

[0039] (1) Regarding the case of directly using existing identification information presentation media such as labels and imprints that are commonly used

[0040] As shown in Figure 3, simply make the positional relationship between multiple labels (or an imprint as a single entity as a whole) different for each product.

[0041] Even for the same combination of labels, the figure formed by connecting the feature points will be different due to the intentional change in the pasting position.

[0042] Rather than the polygon formed by the characteristic points of each individual label itself, the polygon formed by the positional relationship formed by multiple labels with respect to each other becomes the "unique trace".

[0043] Also, as shown in FIG. 4, the shapes of multiple individual labels (or the imprint as a whole) are made different for each product, and their positional relationships are also made different for each product.

[0044] In this case, compared with FIG. 3, the difference in the figure formed by connecting the characteristic points is larger, resulting in a stronger "unique trace".

[0045] Also, as shown in FIG. 5, if there are any characteristic points existing separately on the product itself or separately created and expressed, in addition to the identification information presentation medium of the product itself, the positional relationship between them is made different.

[0046] (2) Regarding the case of providing characteristic points separately inside each identification information presentation medium

[0047] As shown in FIG. 6, one or a part of multiple individual labels (or the imprint as a whole) is given characteristics different from the identification information presentation in other products within its single presentation means, such as font change, addition of characters / symbols, adjustment of font spacing, etc. (in this case, the positional relationship formed by these characteristic points has the same function as the difference in the positional relationships of multiple presentations). As a result, the graphic information formed further enhances the uniqueness of the trace of the product.

[0048] Also, as shown in FIG. 7, in the case of a mark by imprinting, it is possible to regard a single piece of imprinting as a single mark as a whole, or to regard each individual imprinting as a single mark (in the case of imprinting each individual separately, it can be regarded as the latter). Thus, by extracting the characteristic points of the imprinting by AI and shifting this imprinting position for each product during imprinting, the graphic information formed also becomes different for each product.

[0049] (3) Regarding the combined form of (1) and (2)

[0050] By appropriately combining the patterns shown in FIGS. 3 to 7, the identification information unique to the product can further derive uniqueness, and the probability of allowing its alteration will also decrease.

[0051] [1-2: Process in the identification information reading and registration unit] As shown in FIG. 8, the identification information reading and registration unit 14 optically or electrically converts the identification information generated differently for each product by the identification information generation unit 12 into image information, and analyzes the image information by computer software (and AI) to create the final graphic information unique to each individual product.

[0052] For the subsequent implementation of the identity determination service, it is necessary to clarify which product the graphic information belongs to. Therefore, it is associated with the identification label (generally a serial number) mainly assigned by the manufacturer for product management and stored in an electro-optical recording medium (database).

[0053] Also, as will be described in detail in the following identification range definition unit 16, in this embodiment, the graphic information analyzed from the photographed image of the product, etc. taken by the person who wishes to determine the authenticity of the product, etc., is compared with the original graphic information created as described above. In order to perform this comparison smoothly, it is necessary for the image taken by the person who wishes to determine and the original image to match as much as possible. To serve this purpose, in addition to reading the graphic information as a trace from the original image, it is realized by generating a mechanism to assist the person who wishes to determine in taking a photo.

[0054] In this regard, when the requester collects image information, if the original image information is displayed on the shooting screen, it is most realistic and reliable to perform the shooting act with the original image information superimposed. However, it is necessary to avoid releasing the original image information itself from the registration database to the outside in terms of anti-counterfeiting. Therefore, for the original image information, a blurred image or contour for shooting is generated by computer software processing (blurring, contour formation), and the requester is asked to take a photo of the product or the like using this contour for shooting (assist). Then, the contour frame generated for this shooting assist is also stored in the same table on the database as the unique information of the product.

[0055] [1-3: Process in the Identification Range Definition Unit] (1) The acquisition of specific information of a product or the like and the acquisition of image information of the product to be judged, which is the target of the judgment request, by photographing will be described.

[0056] The identification range definition unit 16 defines the process for the requester to specifically receive the authenticity judgment of the target product or the like.

[0057] In this embodiment, as shown in FIG. 9, regarding the method for judging the authenticity of products or the like emerging in the market, the main purpose is for product purchasers to easily and quickly obtain the results. For this purpose, the photographing function and communication function of a mobile terminal (smartphone) are used as means. The person who hopes to make this judgment is hereinafter referred to as the "requester".

[0058] The authenticity judgment in this embodiment starts with the requester accessing the database for registering product information via a dedicated judgment site (hereinafter referred to as the "dedicated judgment site") existing on the Internet. Therefore, for the implementation of this judgment service, in addition to the database for information registration, it is necessary to construct a judgment site that cooperates with the database and to inform in advance that it is a service provided by that site.

[0059] In order for the requester to request a determination, it is necessary to indicate what kind of product, etc. the request is for. The most suitable for this purpose is the number (generally the serial number) indicated by the attached label or engraving that the manufacturer assigns for product management and represents it. In the identification information reading and registration unit 16, this number is registered on the database and linked to the identification information of the product, etc. Therefore, by using the product information management number indicated on this product, etc. as a trigger by the requester, it becomes possible to perform authenticity determination using the database registration information of the said product, etc. This also means that when this product information management number does not exist for the said product, etc., it can be determined as a "counterfeit product" just based on this fact.

[0060] (2) The process of the requester's request action will be explained.

[0061] As shown in FIGS. 9 and 10, in order to speed up the determination based on the image information and reduce the security and load of the database storing the original information, a dedicated determination site is constructed and only the dedicated determination site is connected to the Internet. And only the information about the product, etc. for which a determination request has been made is copied from the original database each time to respond to the request.

[0062] The requester first accesses the publicly available dedicated determination site and obtains, in the form of an application, a photographing frame that assists in collecting the images that are the basis for the determination.

[0063] The dedicated determination site uses the product information management number as described above as a trigger to copy only the information necessary for the requested determination from the database storing the original data. The requester sends the (expected) product information management number indicated on the determination-requested product, etc. to the dedicated determination site. For this purpose, the dedicated determination site provides an input mechanism for this number from the requester (selecting the input content in consideration of also requesting other data input that is considered necessary for marketing).

[0064] The dedicated authentication site checks if the product information management number entered by the authentication requester exists. If the number is not registered in the database, the requester is notified that the product is a counterfeit based on this fact.

[0065] If there is a number registration, the dedicated authentication site retrieves the blurred (or contour) image for assisting in photographing the target product and polygon information associated with it from the product identification information recording database, and first prompts the authentication requester to download the photographing assist frame (and application software).

[0066] The authentication requester takes a photograph so that the characteristics of the product requested for authentication etc. fit (are contained) within the photographing assist frame downloaded to their smartphone.

[0067] If the characteristics of the product requested for authentication etc. do not fit (do not overlap) within the photographing assist frame, it can be judged as a counterfeit, and this fact is displayed.

[0068] If the characteristics of the product requested for authentication fit (overlap) within the photographing assist frame, automatic photographing is performed by the function of the application, and the image is automatically transmitted to the dedicated authentication site.

[0069] [1 - 4: Process in the determination unit] The determination unit 18 makes a final authenticity determination regarding the product requested for authentication etc.

[0070] First, for the image information of the target product etc. from the authentication requester transmitted to the dedicated authentication site by the identification range definition unit 16, the determination unit 18 generates graphic information using the same algorithm as the identification information generation unit 12.

[0071] Next, the identification information (graphical information) of the product or the like is acquired from the database storing the original information of the target product or the like, and the degree of coincidence with the generated graphical information is determined by computer software (AI). This degree of coincidence is automatically determined according to the percentage (90 - 95% in general face authentication) determined by the determination test performed at the time of initial introduction in the identification information generation unit.

[0072] The determination result of the degree of coincidence is returned from the determination unit 18 to the requester of the determination according to the percentage or the expression (general expressions such as genuine product, imitation product, indistinguishable, etc.) set in advance according to the degree of coincidence.

[0073] The determination site registers the fact of this determination request and the determination result in the original database as supplementary materials for authenticity determination.

[0074] [Second Embodiment] Next, a method for determining the authenticity of a product and a website according to the second embodiment of the present invention will be described with reference to the drawings. In the second embodiment, a method for determining the authenticity of a "website" will be described. An online shopping site is exemplified as the website.

[0075] Also in the second embodiment, the authenticity determination device 10 shown in FIG. 1 is used. The authenticity determination device 10 mainly includes an identification information generation unit 12, an identification information reading and registration unit 14, an identification range definition unit 16, and a determination unit 18.

[0076] Next, the overall flow of the method for determining the authenticity of a website will be described.

[0077] [Processing in the Identification Information Generation Unit] As shown in FIG. 15, in step 200, the identification information generation unit 12 executes the registration of the application site URL. In step 202, the identification information generation unit 12 executes the acquisition and registration of the polygonal information of the application site page image.

[0078] [Processing in the Identification Information Reading and Registration Unit] As shown in FIG. 15, in step 204, the identification information reading and registration unit 14 starts a site determination request by the person who wishes to make a determination.

[0079] [Processing in the identification range definition unit] As shown in FIG. 15, in step 206, the identification range definition unit 16 executes the selection of the input method of the target site URL. Subsequently, in step 208, the identification range definition unit 16 determines whether it is manual input or image sending. If it is determined to be manual input, in step 210, the identification range definition unit 16 executes the work on the requester side for preliminary determination at the determination site. Subsequently, in step 212, the identification range definition unit 16 determines the presence or absence of a key mark before the URL is displayed. If it is determined that there is no key mark, in step 214, a warning about a fake site is executed. On the other hand, if it is determined that there is a key mark, in step 216, the target site URL is input. In step 218, the identification range definition unit 16 determines the presence or absence of the corresponding URL in the site-side search. If it is determined that there is no corresponding URL, in step 220, the determination unit 18 executes a warning about a fake site. On the other hand, if it is determined that there is a corresponding URL, in step 222, the determination unit 18 executes the site image transmission by the requester. Thereafter, the process proceeds to the final determination at the determination site in step 232.

[0080] If it is determined in step 208 that image transmission is to be performed, then in step 224, the identification range definition unit 16 executes image analysis using URL extraction and polygon analysis. Subsequently, in step 226, preliminary determination on the determination site side is executed. In step 228, the identification range definition unit 16 determines whether there is a key mark before the URL is displayed. If it is determined that there is no key mark, then in step 214, the determination unit 18 issues a warning about a fake site. On the other hand, if it is determined that there is a key mark, then in step 230, the determination unit 18 determines whether there is a URL corresponding to the collation database. If it is determined that there is no URL corresponding to the collation database, then in step 220, the determination unit 18 issues a warning about a fake site. On the other hand, if it is determined that there is a URL corresponding to the collation database, then the process proceeds to the final determination on the determination site in step 232.

[0081] [Processing in the determination unit] As shown in FIG. 15, in step 232, the determination unit 18 starts the final determination on the determination site. In step 234, the determination unit 18 determines whether it matches the registered site image information. If it is determined that it does not match the registered site image information, then in step 236, the determination unit 18 issues a warning about a fake site. If it is determined that it matches the registered site image information, then in step 238, the determination unit 18 executes a determination display of a genuine site.

[0082] [2-1: Process in the identification information generation unit] On the Internet, a single site (data) is displayed by the browser of the user's terminal. Therefore, for the method that uses the polygon information formed by the physical positional relationship of a plurality of identification representations originally assumed in this embodiment as the "unique trace", it is necessary to add some supplements to the method in the case of products and the like.

[0083] Originally, the authenticity of a site is ensured by verifying the displayed URL. However, using confusing URLs that can mislead the general public is also a characteristic of unauthentic sites. Recently, there have also been cases where fraudulent emails are sent from official email addresses, and if one proceeds with procedures by trusting the URLs displayed therein, there is a risk of suffering losses.

[0084] Considering such characteristics of fake sites, as shown in FIGS. 11 and 12, the following two types of identification information are used. (1) URL (data and display image) of the official authentic site itself (2) Polygonal information formed by connecting the feature points of the "displayed URL image" and the "image of the displayed site screen" (displayed on the browser)

[0085] For the URL, both the image and text data of the URL display part are registered in the database. In this case, the selection and emphasis of feature points on the image are verified in advance by AI.

[0086] The image of the site screen is displayed on the browser, and the display method varies depending on the terminal (PC or smartphone) of the site viewer and the positional relationship is not constant due to screen scrolling. Therefore, based on the image photo in the state where only the top is displayed in relation to scrolling, and considering the differences in margin processing depending on the type of browser, polygonal information is obtained by connecting feature points within the range centered. This polygonal information is obtained separately for the PC screen and the smartphone screen.

[0087] [2-2: Process in the identification information reading and registration section] As shown in FIGS. 13 and 14, the site URL data and each image information generated by the identification information generation unit 12 are analyzed by computer software (and AI), created as the final polygonal information specific to each product, and registered in the database by electromagnetic and optical means.

[0088] In this case, for generating polygon information, the most appropriate feature points for each site are selected using AI.

[0089] This created identification information (polygon information) is compared with the information of a single site, unlike in the case of the identity determination service for products, etc. Therefore, using the URL as the trigger for the determination request is sufficient and most reliable.

[0090] Also, as will be described in the following identification range definition section 16, in the case of determining the authenticity of a site, using a screenshot of the terminal screen will not cause variations due to the photographer. Therefore, in the case of determining the authenticity of this site, unlike that of products, etc., image acquisition is possible without particularly requiring an app for shooting assistance.

[0091] [2-3: Process in the Identification Range Definition Section] (1) Regarding access to the determination site The requester for determining the authenticity of the site first accesses the publicly available dedicated determination site. (Since the determination of this site is different from that of products, etc. in terms of the determination and the determination process, it should be clearly stated that the determination of the "site" is being performed.)

[0092] At this site, the requester first inputs the URL of the site for which the determination is sought. At this time, the requester is asked to select whether the viewing site is a PC or a smartphone.

[0093] (2) Regarding input of the URL (a) There are the following two input methods. a. Have the URL directly input into the input window. b. Take a screenshot of the top page image including the URL of the site (starting from the beginning), and attach the captured image (informing that the top of the top page including the URL display is shown). Although it is clear to specify the top page, which page to use as the reference for determination is up to the decision of the legitimate site operator, and the target should be informed.

[0094] (a) When directly entering a URL in the input window, due to the handling of the key mark indicating the SSL / TLS function, a question of "Is there a key mark?" is asked first, and the handling is differentiated according to the answer. If the answer is "Yes", URL input is enabled and the input is allowed. If the answer is "No", a message indicating suspicion of a fake site is displayed.

[0095] (c) When a URL is entered because there is a key mark, the determination site checks whether the same URL exists through a DB search. If "the same URL exists", as the next process, attachment of the site image is requested and the process proceeds to the next determination process. In this case, what to do with the site page used as the determination criterion and how to inform it are the same as in (2)(a)b regarding the input of the URL described above. If "the same URL does not exist", a message indicating suspicion of a fake site is displayed.

[0096] (e) In the case of attaching a site image including a URL, the URL image part is analyzed by software to be texturized, and at the same time, the presence or absence of the key mark is read. The difference in the flow depending on the presence or absence of the key mark is the same as in (a) (the site image is already attached in this case).

[0097] [2-4: Processes in the determination unit] For the case where the presence or absence of the key mark is compared with the registered URL in the identification range definition unit 16, the determination unit 18 finally makes a authenticity determination.

[0098] For the site image sent from the determination requester, polygonal information is extracted using the same algorithm as the identification information reading and registration unit 14.

[0099] The authenticity determination here is a determination as to whether the site image attached and sent from the determination requester is an image of a genuine one made by the site producer. This determination is based on the comparison between the polygonal information generated in the identification information generation unit 12 and the polygonal information reproduced in the determination unit 18.

[0100] As a result of comparison, when the site image polygon information does not match, it is indicated that the site is a fake site. On the other hand, when the site image polygon information matches, it is indicated that the site is a genuine site.

[0101] Note that each of the above embodiments is merely an example of the present invention, and the scope that those skilled in the art can appropriately design and modify is included in the scope of the present invention.

Explanation of Reference Numerals

[0102] 10 Fake / genuine determination device 12 Identification information generation unit 14 Identification information reading and registration unit 16 Identification range definition unit 18 Determination unit

Claims

1. A method for determining the authenticity of a product and a website, comprising: an identification information generation step for generating identification information indicating that a predetermined product or website is an authentic product manufactured by the manufacturer himself; an identification information reading and registration step for registering the identification information generated in the identification information generation step in a database; an identification range definition step for a determination requester to specify information about a specific product or website and receive a determination as to whether it is an authentic product; a determination step for comparing the information about the product or website specified by the determination requester with the identification information to determine whether it is an authentic product; A method for determining the authenticity of a product and a website, comprising the above steps.

2. The method for determining the authenticity of a product and a website according to claim 1, wherein the identification information is graphic information formed by connecting feature points of a plurality of manifestation information in the product or website.

3. The method for determining the authenticity of a product and a website according to claim 2, wherein the graphic information presents a plurality of identification characteristics in different positional relationships for each product or website, and is made different for each product or website.

4. The method for determining the authenticity of a product and a website according to claim 1, wherein the identification information includes data and display images associated with the URL of an authentic website, and polygonal information formed by connecting the feature points of the display image of the URL of the website displayed on a predetermined browser and the image of the website screen displayed on the browser.

Images