A method, apparatus and distribution system for generating digital paper

Abstract

This invention provides a method, apparatus, and distribution system for generating digital paper. The method includes: obtaining a digest value of the digital paper based on its production serial number, or based on terminal identification information and a customer dynamic password; determining first distribution feature data of the anti-counterfeiting fiber corresponding to the digest value based on the mapping relationship between each character in the digest value and an anti-counterfeiting fiber distribution feature table; superimposing the anti-counterfeiting fiber and the paper-forming fiber into digital paper based on the first distribution feature data and preset second distribution feature data of the paper-forming fiber; generating a corresponding CA certificate based on the feature data of the digital paper and a private key from an authoritative institution; and sending the CA certificate and the digital paper together to a receiving end. Applying this invention can prevent the counterfeiting of digital paper.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic documents, in particular to a digital paper generation method, device and distribution system. BACKGROUND

[0002] Digital paper is a technical platform built with digital technology to meet the characteristics of traditional paper, which is used to electrize traditional paper-based applications. Digital paper technology enables the smooth transition of original paper-based usage habits, system regulations, and work methods to digital form, providing key technical support for promoting informatization. At present, existing digital paper technology mainly focuses on content forgery prevention, and does not consider forgery prevention technology for digital paper itself. For example, the PDF (Portable Document Format) software and the OFD (Open Fixed-layout Document) are both blank files, and can be generated using reading software, without considering paper forgery prevention.

[0003] The prior art patent application No. 201010604824.1 discloses a paper fiber texture-based forgery prevention method and system, which includes the following steps: determining the position for collecting fiber texture and the predetermined magnification on the paper to be identified, and obtaining the fiber texture image collected by optical acquisition; performing digital processing on the fiber texture image to form fiber texture features and record them to a feature database; when identifying the authenticity of the paper, the fiber texture image is obtained at the same position by optical system magnification to the same magnification, and the same digital processing is performed; and the fiber texture features stored in the feature database are compared to determine the authenticity of the paper. The paper fiber texture-based forgery prevention method and system uses positioning on the paper and magnification and identification of fiber texture to achieve accurate forgery prevention identification of the paper without any additional technical processing of the paper. The prior art is based on the fiber texture features of the physical paper to prevent forgery of the paper, but in the generation process of digital paper, the texture is generally generated by program loop, which has strong regularity and is easy to be imitated.

[0004] Therefore, how to realize the forgery prevention of digital paper to avoid imitation is a technical problem to be solved. SUMMARY

[0005] The technical problem to be solved by the present application is how to provide a digital paper generation method, device and distribution system to realize forgery prevention of digital paper.

[0006] The present application provides a digital paper generation method, which comprises:

[0007] Obtain the receiver identification information and the customer dynamic password, and use the hash value of the concatenation result of the identification information and the customer dynamic password as the digest value of the digital paper.

[0008] Based on the summary value, the first distribution feature data of the anti-counterfeiting fiber corresponding to the summary value is determined according to the mapping relationship between each character in the summary value and the anti-counterfeiting fiber distribution feature table. The first distribution feature data includes one or a combination of length, color, three-dimensional coordinates, shape, and posture.

[0009] Based on the first distribution feature data and the preset second distribution feature data of the paper fibers, the anti-counterfeiting fibers and the paper fibers are superimposed to form digital paper;

[0010] A corresponding CA certificate is generated based on the characteristic data of the digital paper and the private key of the authoritative institution, and the CA certificate and the digital paper are sent to the receiving end together.

[0011] Optionally, determining the first distribution feature data of the anti-counterfeiting fiber corresponding to the summary value based on the mapping relationship between each character in the summary value and the anti-counterfeiting fiber distribution feature table includes:

[0012] Starting from the first character of the summary value, the character corresponding to the first character is the current character;

[0013] For the current character, several feature values ​​are randomly generated for each anti-counterfeiting fiber distribution feature; the several feature values ​​of each anti-counterfeiting fiber distribution feature are combined into an anti-counterfeiting fiber distribution feature table;

[0014] The current character is randomly mapped to several anti-counterfeiting fiber distribution features in the anti-counterfeiting fiber distribution feature table, and one feature value is randomly selected from the feature values ​​of each anti-counterfeiting fiber distribution feature as the feature value corresponding to the current character.

[0015] The distribution characteristics of the anti-counterfeiting fibers corresponding to the current character, and the corresponding feature values, are used as the distribution characteristic data of the anti-counterfeiting fibers corresponding to the current character.

[0016] The next character in the sequence following the current character is taken as the current character, and the process returns to the step of establishing the mapping relationship between the current character and the current anti-counterfeiting fiber distribution feature table, until all characters of the summary value have been traversed;

[0017] The set of distribution characteristic data of each anti-counterfeiting fiber is used as the first distribution characteristic data.

[0018] Optionally, the step of superimposing anti-counterfeiting fibers and paper fibers into digital paper based on first distribution feature data and preset second distribution feature data of paper fibers includes:

[0019] Anti-counterfeiting fibers are generated based on the first distribution feature data; paper-forming fibers are generated based on the second distribution feature data.

[0020] The anti-counterfeiting fibers and paper fibers are assembled into a fiber layer;

[0021] The paper fibers in the fiber layer are processed using a secondary processing algorithm, wherein the secondary processing algorithm includes one or a combination of fiber expansion algorithm and printing algorithm;

[0022] The fiber layer after secondary processing is used as digital paper.

[0023] Optionally, generating a corresponding CA certificate based on the characteristic data of the digital paper and the private key of the authoritative institution includes:

[0024] Extract the feature data of digital paper, wherein the feature data includes one or a combination of the following: the three-dimensional coordinates of each point on the fiber, color, and paper printing information;

[0025] The feature data is stored in a standard generalized markup language file;

[0026] The hash value corresponding to the concatenation of the general markup language file and the authoritative institution's private key is used as the digital signature of the CA certificate.

[0027] The present invention also provides a digital paper generating apparatus, the apparatus comprising:

[0028] The acquisition module is used to acquire the receiver identification information and the customer dynamic password, and use the hash value of the concatenation result of the identification information and the customer dynamic password as the digest value of the digital paper.

[0029] The mapping module is used to determine the first distribution feature data of the anti-counterfeiting fiber corresponding to the summary value based on the summary value and the mapping relationship between each character in the summary value and the anti-counterfeiting fiber distribution feature table. The first distribution feature data includes one or a combination of length, color, three-dimensional coordinates, shape, and posture.

[0030] The overlay module is used to overlay anti-counterfeiting fibers and paper fibers into digital paper based on the first distribution feature data and the preset second distribution feature data of paper fibers.

[0031] The sending module is used to generate a corresponding CA certificate based on the feature data of the digital paper and the private key of the authoritative institution, and send the CA certificate and the digital paper together to the receiving end. The feature data includes: first distribution feature data, second distribution feature data, and feature data characterizing the structure of each fiber.

[0032] Optionally, the mapping module is used for:

[0033] Starting from the first character of the summary value, the character corresponding to the first character is the current character;

[0034] For the current character, several feature values ​​are randomly generated for each anti-counterfeiting fiber distribution feature; the several feature values ​​of each anti-counterfeiting fiber distribution feature are combined into an anti-counterfeiting fiber distribution feature table;

[0035] The current character is randomly mapped to several anti-counterfeiting fiber distribution features in the anti-counterfeiting fiber distribution feature table, and one feature value is randomly selected from the feature values ​​of each anti-counterfeiting fiber distribution feature as the feature value corresponding to the current character.

[0036] The distribution characteristics of the anti-counterfeiting fibers corresponding to the current character, and the corresponding feature values, are used as the distribution characteristic data of the anti-counterfeiting fibers corresponding to the current character.

[0037] The next character in the sequence following the current character is taken as the current character, and the process returns to the step of establishing the mapping relationship between the current character and the current anti-counterfeiting fiber distribution feature table, until all characters of the summary value have been traversed;

[0038] The set of distribution characteristic data of each anti-counterfeiting fiber is used as the first distribution characteristic data.

[0039] Optionally, the overlay module is used for:

[0040] Anti-counterfeiting fibers are generated based on the first distribution feature data; paper-forming fibers are generated based on the second distribution feature data.

[0041] The anti-counterfeiting fibers and paper fibers are assembled into a fiber layer;

[0042] The paper fibers in the fiber layer are processed using a secondary processing algorithm, wherein the secondary processing algorithm includes one or a combination of fiber expansion algorithm and printing algorithm;

[0043] The fiber layer after secondary processing is used as digital paper.

[0044] Optionally, the sending module is used for:

[0045] The feature data of digital paper is extracted, wherein the feature data of the structure of each fiber itself includes: secondary processing result data;

[0046] The feature data is stored in a standard generalized markup language file;

[0047] The hash value corresponding to the concatenation of the general markup language file and the authoritative institution's private key is used as the digital signature of the CA certificate.

[0048] A digital paper distribution system, the system comprising a paper issuing end, a receiving end, and an authoritative institution, wherein,

[0049] The paper issuing terminal is used to perform the method described in any of the above;

[0050] The receiving end is used to send a dynamic password to the paper issuing end, receive the digital paper and CA certificate returned by the paper issuing end, and initiate a verification request to the authoritative institution based on the CA certificate.

[0051] The authoritative body is used to verify the CA certificate according to the verification request and return the verification result to the receiving end.

[0052] The advantages of this invention are:

[0053] Applying the above embodiments of the present invention, based on the serial number corresponding to the digital paper, the first distribution feature data of the anti-counterfeiting fiber is obtained by using the mapping relationship between the characters in the serial number and the anti-counterfeiting fiber distribution feature table. Then, the paper fiber is obtained based on the second distribution feature data of the paper fiber. The digital paper is obtained based on the paper fiber and the anti-counterfeiting fiber. A digital certificate corresponding to the digital paper is generated based on the feature data of the digital paper. In the present invention, anti-counterfeiting fiber is added to the digital paper. The generation process of the anti-counterfeiting fiber is random and there are no regular factors, making it difficult to be counterfeited. Attached Figure Description

[0054] Figure 1 This is a flowchart illustrating a digital paper generation method provided in an embodiment of the present invention.

[0055] Figure 2 This is a schematic diagram of the structure of a digital paper generating device provided in an embodiment of the present invention;

[0056] Figure 3 This is a schematic diagram of a digital paper distribution system provided in an embodiment of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Example 1

[0059] Figure 1 This is a flowchart illustrating a digital paper generation method provided in an embodiment of the present invention, as shown below. Figure 1As shown, the method includes:

[0060] S101: Obtain the summary value of the digital paper based on the production serial number of the digital paper, or based on the terminal identification information and the customer's dynamic password.

[0061] When a client needs digital paper, it must first send its own identification information and authentication information to the paper distribution organization. After the paper distribution organization authenticates the paper, the digital paper summary value will be generated.

[0062] To facilitate understanding of the embodiments of the present invention, the application scenario of the embodiments of the present invention will be introduced first: The client of the digital paper sends a request for a digital paper to the paper distribution agency. The paper distribution agency assigns a production serial number to the client based on the client's identification information. The production serial number is unique and corresponds one-to-one with the digital paper.

[0063] Furthermore, the production serial number can be encoded according to the administrative division of the digital paper's client location. The digital paper serial number can consist of a country code, province code, city code, county / district code, and company code. For example, if a company's registered address is No. 20000, Yunfei Road, Shushan District, Hefei City, Anhui Province, People's Republic of China, the corresponding digital paper serial number is 08634010400001, where "086" is the country code, "34" is the province code, "01" is the Hefei city code, "04" is the Shushan District code, and "0xmnd7" is the company code. In practical applications, paper distribution organizations can also customize the encoding rules for each field in the serial number; this embodiment of the invention does not limit the encoding rules.

[0064] Then, the hash 512 algorithm is used to process the hash of "08634010400001" to obtain the corresponding hash value:

[0065] 27B640FA159E5A0E625B4DC479090A624367758E7172023DE6197DE8BDB224F6 B6C055010C648A04B702185F3263920C0A1D0D59F07619AAC6087957E4E1A57D.

[0066] In another embodiment of this step, the paper distribution agency first obtains the client's identification information and assigns a random number sequence to the client. After concatenating the identification information and the random number sequence, a hash processing is performed to obtain the summary value of the digital paper.

[0067] Furthermore, the paper distribution agency has a random number generation device that continuously outputs a random number queue. When digital paper needs to be generated, it extracts a fixed-length or variable-length random number character from the random number queue as a random number sequence for the client.

[0068] S102: Based on the summary value, determine the first distribution feature data of the anti-counterfeiting fiber corresponding to the summary value according to the mapping relationship between each character in the summary value and the anti-counterfeiting fiber distribution feature table, wherein the first distribution feature data includes one or a combination of length, color, three-dimensional coordinates, shape, and posture.

[0069] Specifically, starting from the first character of the summary value, the character corresponding to the first character is moved to the current character. In the first iteration, the current character is "2". The preset anti-counterfeiting fiber distribution feature table contains all distribution feature data, such as length, color, three-dimensional coordinates, shape, and posture. Then, a corresponding feature value is generated for each first distribution feature.

[0070] Taking length as an example, three length data are randomly generated: 1mm, 3.876mm, and 100mm. Then, for the length, one length data is randomly selected from the above four length data as the length feature value of the anti-counterfeiting fiber corresponding to the current character "2".

[0071] Similarly, the feature values ​​generated for color can be several sets of RGB values.

[0072] Using the center point of the digital paper as the origin, the three-dimensional coordinates of the center point of the anti-counterfeiting fiber corresponding to the current character "2" relative to the origin are used as the feature value.

[0073] In this embodiment of the invention, the shape-corresponding feature value can be characterized using the following method: the anti-counterfeiting fiber can be obtained by splicing together pre-set component units. Specifically, each component unit is a cylinder. When the cylinders are freely spliced ​​together, the angle between the central axes of the two cylinders is adjusted using the point obtained by coinciding the centers of their opposite end faces as the rotation center. This angle can have components in both the vertical and horizontal directions. Therefore, the first distribution feature of the shape can be characterized by the set of angles between the central axis of each component unit and the central axis of the digital paper. The number of component units and the angle between the central axis of the component units and the central axis of the digital paper are then used as the feature values ​​corresponding to the first distribution feature. Therefore, the shape feature of the anti-counterfeiting fiber can be determined as long as the number of component units and the angle between the central axis of each component unit and the central axis of the paper are determined.

[0074] Therefore, the number of constituent units and the angle between the central axis of each constituent unit and the central axis of the paper can be used as a set of feature values. Several sets of feature values ​​can be generated using a similar method.

[0075] The anti-counterfeiting fiber distribution features corresponding to the current character "2" are combined into an anti-counterfeiting fiber distribution feature table, as shown in Table 1:

[0076] Table 1

[0077]

[0078]

[0079] Then, the current character "2" is randomly mapped to a feature value in the anti-counterfeiting fiber distribution feature table. Preferably, to improve the anti-counterfeiting effect of the anti-counterfeiting fiber features, the current character "2" should be mapped to all anti-counterfeiting fiber distribution features. For example, when the total number of anti-counterfeiting fiber distribution features is 10, the current character "2" should have 10 feature values, and each feature value corresponds one-to-one with an anti-counterfeiting fiber distribution feature. That is to say, the structure of Table 1 is applicable to all characters, and Table 1 for each character contains all anti-counterfeiting fiber distribution features, with the only change being the feature values ​​in Table 1.

[0080] In the mapping process, a feature value is mapped to each anti-counterfeiting fiber distribution feature, thereby obtaining each distribution feature and its corresponding feature value. The combination of the two is used as the distribution feature data of the anti-counterfeiting fiber corresponding to the current character "2".

[0081] Similarly, the other characters in the summary value of "08634010400001" are processed in the same way to obtain the distribution feature data corresponding to each character. The set of distribution feature data of each anti-counterfeiting fiber is used as the first distribution feature data.

[0082] Furthermore, to simplify the process and make it suitable for scenarios with lower anti-counterfeiting requirements, several anti-counterfeiting fiber distribution features can be randomly mapped to the current character "2" in Table 1, and then a feature value can be randomly mapped to each of these features. For example, if the anti-counterfeiting fiber distribution feature mapped to the current character "2" is only "length", and the feature value corresponding to "length" is 1mm, then the distribution feature data corresponding to the current character "2" would be [length, 1mm].

[0083] S103: Based on the first distribution feature data and the preset second distribution feature data of the paper fibers, the anti-counterfeiting fibers and the paper fibers are superimposed to form digital paper.

[0084] For example, anti-counterfeiting fibers can be generated based on the first distribution feature data.

[0085] Paper fibers, i.e., ordinary fibers, are generated based on the second distribution characteristic data. The method for generating paper fibers is simpler than that for generating anti-counterfeiting fibers. For example, the second distribution characteristic data for paper fibers can include the fiber length, three-dimensional coordinates, and shape. Furthermore, the diameter of the constituent units of the paper fibers is larger than that of the constituent units in anti-counterfeiting fibers, and can be 1-5 times the diameter of the constituent units in anti-counterfeiting fibers; the length can be 1-10 times the length of the constituent units in anti-counterfeiting fibers.

[0086] The anti-counterfeiting fibers are placed in the corresponding positions according to the feature values ​​in the first distribution feature data, and the papermaking fibers are placed in the corresponding positions according to the feature values ​​in the second distribution feature data, thus obtaining the fiber layer.

[0087] Furthermore, a secondary processing algorithm can be used to process the paper fibers in the fiber layer, wherein the secondary processing algorithm includes one or a combination of fiber expansion algorithm and printing algorithm.

[0088] Specifically, the fiber expansion algorithm can be as follows: expand the diameter of the component a in paper fiber A whose distance to the component b of the adjacent paper fiber B is greater than a set value; and expand the diameter of component a to the distance from the component a to any other component in B that is in a straight line to a distance less than or equal to a set value.

[0089] The specific process of the fiber evaporation algorithm can be as follows: First, obtain the shortest path from the center point of each component unit in the paper fiber to the surface of the digital fiber. Then, normalize the shortest path corresponding to each component unit, and use the product of the normalized value and a set evaporation period as the evaporation time. Next, for each component unit, divide it into particles of a set diameter. The shape of the particles can be spherical, cubic, or irregular. Then, according to a pre-set evaporation rate, delete particles on the surface of the component unit within the evaporation period. For example, if the evaporation period for component unit b is 5 seconds and the evaporation rate for the fiber layer is 1 particle / second, then one particle is randomly selected and deleted from component unit b every second. The position, shape, and quantity of evaporating particles on each component unit of the paper fiber in the fiber layer are used as part of the digital paper feature data.

[0090] Furthermore, a set value of elastic modulus can be assigned to the paper fibers and anti-counterfeiting fibers respectively. Then, a mold of a set shape and size is used to mold the digital fibers with a set pressure. The mold is pressed onto the fiber layer. The anti-counterfeiting fibers and paper fibers contained in the fiber layer will deform under the action of the mold, and then come into contact with each other, forming an adhesion at the contact point and maintaining the adhesion state. The position of the adhesion point and the serial number of the fiber that forms the adhesion are used as part of the digital paper feature data. The fibers that form the adhesion can be anti-counterfeiting fibers and paper fibers.

[0091] The fiber layer after secondary processing is used as digital paper.

[0092] In practical applications, the length of anti-counterfeiting fibers is generally 10 times, 55 times, or 1000 times the length of the constituent units.

[0093] S104: Generate a corresponding CA certificate based on the characteristic data of the digital paper and the private key of the authoritative institution, and send the CA certificate and the digital paper together to the receiving end.

[0094] Specifically, the feature data of digital paper is extracted, including: first distribution feature data, second distribution feature data, the position, shape and quantity of volatile particles on each paper fiber component unit, the position of adhesion points and the fiber number that causes adhesion.

[0095] The feature data is stored in an XML file;

[0096] The XML file is concatenated with the private key of the digital paper issuing authority, and then the concatenation result is hashed using an irreversible algorithm such as a hash algorithm. The resulting hash value is used as the digital signature of the digital paper CA certificate.

[0097] Applying the above embodiments of the present invention, based on the serial number corresponding to the digital paper, the first distribution feature data of the anti-counterfeiting fiber is obtained by using the mapping relationship between the characters in the serial number and the anti-counterfeiting fiber distribution feature table. Then, the paper fiber is obtained based on the second distribution feature data of the paper fiber. The digital paper is obtained based on the paper fiber and the anti-counterfeiting fiber. A digital certificate corresponding to the digital paper is generated based on the feature data of the digital paper. In the present invention, anti-counterfeiting fiber is added to the digital paper. The generation process of the anti-counterfeiting fiber is random and there are no regular factors, making it difficult to be counterfeited.

[0098] Furthermore, there is no direct mapping between the digital certificate and the serial number of the digital paper. The structure of the digital paper cannot be derived from its serial number. Therefore, even if the serial number generation rules of the digital paper are leaked, it is impossible to counterfeit the digital paper.

[0099] Example 2

[0100] Corresponding to Embodiment 1 of the present invention, Figure 2 This is a schematic diagram of a digital paper generating device provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the device includes:

[0101] The acquisition module 201 is used to acquire the receiver identification information and the customer dynamic password, and use the hash value of the concatenation result of the identification information and the customer dynamic password as the digest value of the digital paper.

[0102] The mapping module 202 is used to determine the first distribution feature data of the anti-counterfeiting fiber corresponding to the summary value based on the summary value and the mapping relationship between each character in the summary value and the anti-counterfeiting fiber distribution feature table. The first distribution feature data includes one or a combination of length, color, three-dimensional coordinates, shape, and posture.

[0103] The overlay module 203 is used to overlay anti-counterfeiting fibers and paper fibers into digital paper based on the first distribution feature data and the preset second distribution feature data of paper fibers.

[0104] The sending module 204 is used to generate a corresponding CA certificate based on the feature data of the digital paper and the private key of the authoritative institution, and send the CA certificate and the digital paper together to the receiving end. The feature data includes: first distribution feature data, second distribution feature data and feature data characterizing the structure of each fiber.

[0105] In one specific embodiment of the present invention, the mapping module 202 is used for:

[0106] Starting from the first character of the summary value, the character corresponding to the first character is the current character;

[0107] For the current character, several feature values ​​are randomly generated for each anti-counterfeiting fiber distribution feature; the several feature values ​​of each anti-counterfeiting fiber distribution feature are combined into an anti-counterfeiting fiber distribution feature table;

[0108] The current character is randomly mapped to several anti-counterfeiting fiber distribution features in the anti-counterfeiting fiber distribution feature table, and one feature value is randomly selected from the feature values ​​of each anti-counterfeiting fiber distribution feature as the feature value corresponding to the current character.

[0109] The distribution characteristics of the anti-counterfeiting fibers corresponding to the current character, and the corresponding feature values, are used as the distribution characteristic data of the anti-counterfeiting fibers corresponding to the current character.

[0110] The next character in the sequence following the current character is taken as the current character, and the process returns to the step of establishing the mapping relationship between the current character and the current anti-counterfeiting fiber distribution feature table, until all characters of the summary value have been traversed;

[0111] The set of distribution characteristic data of each anti-counterfeiting fiber is used as the first distribution characteristic data.

[0112] In one specific embodiment of the present invention, the superposition module 203 is used for:

[0113] Anti-counterfeiting fibers are generated based on the first distribution feature data; paper-forming fibers are generated based on the second distribution feature data.

[0114] The anti-counterfeiting fibers and paper fibers are assembled into a fiber layer;

[0115] The paper fibers in the fiber layer are processed using a secondary processing algorithm, wherein the secondary processing algorithm includes one or a combination of fiber expansion algorithm and printing algorithm;

[0116] The fiber layer after secondary processing is used as digital paper.

[0117] In one specific embodiment of the present invention, the sending module 204 is configured to:

[0118] The feature data of digital paper is extracted, wherein the feature data of the structure of each fiber itself includes: secondary processing result data;

[0119] The feature data is stored in a standard generalized markup language file;

[0120] The hash value corresponding to the concatenation of the general markup language file and the authoritative institution's private key is used as the digital signature of the CA certificate.

[0121] Example 3

[0122] Based on Embodiments 1 and 2 of the present invention, Figure 3 This is a schematic diagram of the structure of a digital paper distribution system provided in an embodiment of the present invention, as shown below. Figure 3 As shown, the system includes a paper issuing terminal 301, a receiving terminal 302, and an authoritative institution 303, wherein...

[0123] The paper issuing terminal 301 is used to perform the method as described in Example 1;

[0124] The receiving end 302 is used to send a dynamic password to the paper issuing end 301, receive the digital paper and CA certificate returned by the paper issuing end 301, and initiate a verification request to an authoritative institution based on the CA certificate.

[0125] The authoritative institution 303 is used to verify the CA certificate according to the verification request and return the verification result to the receiving end 302.

[0126] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A digital paper generation method characterized by, The method comprises: According to the production serial number of the digital paper, or according to the end identification information and the customer dynamic password, the digest value of the digital paper is obtained; According to the mapping relationship between each character in the digest value and the anti-counterfeit fiber distribution feature table, the first distribution feature data of the anti-counterfeit fiber corresponding to the digest value is determined, wherein the first distribution feature data comprises one or a combination of length, color, three-dimensional coordinates, shape and posture; According to the first distribution feature data and the second distribution feature data of the preset papermaking fiber, the anti-counterfeit fiber and the papermaking fiber are superimposed into the digital paper; According to the feature data of the digital paper and the private key of the authoritative institution, the corresponding CA certificate is generated, and the CA certificate and the digital paper are sent to the receiving end together, wherein the feature data comprises the first distribution feature data, the second distribution feature data and the feature data representing the structure of each fiber itself.

2. The digital paper generating method of claim 1, wherein, According to the production serial number of the digital paper, or according to the end identification information and the customer dynamic password, the digest value of the digital paper is obtained, comprising: The production serial number of the digital paper is obtained, and the corresponding digest value is obtained by using a hash algorithm according to the production serial number; Or, the receiving end identification information and the customer dynamic password are obtained, and the hash value of the splicing result of the identification information and the customer dynamic password is taken as the digest value of the digital paper.

3. The method of claim 1, wherein, According to the mapping relationship between each character in the digest value and the anti-counterfeit fiber distribution feature table, the first distribution feature data of the anti-counterfeit fiber corresponding to the digest value is determined, comprising: From the first bit of the digest value, the character corresponding to the first bit is taken as the current character; For the current character, a plurality of feature values are randomly generated for each anti-counterfeit fiber distribution feature; a plurality of feature values of each anti-counterfeit fiber distribution feature are combined into an anti-counterfeit fiber distribution feature table; The current character is randomly mapped to a plurality of anti-counterfeit fiber distribution features in the anti-counterfeit fiber distribution feature table, and a feature value is randomly selected from the feature values of each anti-counterfeit fiber distribution feature as the feature value corresponding to the current character; The anti-counterfeit fiber distribution feature corresponding to the current character and the corresponding feature value are taken as the distribution feature data of the anti-counterfeit fiber corresponding to the current character; The next sequential character of the current character is taken as the current character, and the steps of generating a plurality of feature values for each anti-counterfeit fiber distribution feature and taking the anti-counterfeit fiber distribution feature corresponding to the current character and the corresponding feature value as the distribution feature data of the anti-counterfeit fiber corresponding to the current character are executed until all characters of the digest value are traversed; The set of distribution feature data of each anti-counterfeit fiber is taken as the first distribution feature data.

4. The method of claim 1, wherein According to the first distribution feature data and the second distribution feature data of the preset papermaking fiber, the anti-counterfeit fiber and the papermaking fiber are superimposed into the digital paper, comprising: According to the first distribution feature data, the anti-counterfeit fiber is generated; according to the second distribution feature data, the papermaking fiber is generated; The anti-counterfeit fiber and the papermaking fiber are assembled into a fiber layer; The papermaking fibers in the fiber layer are processed by a secondary processing algorithm, wherein the secondary processing algorithm comprises one or a combination of a fiber swelling algorithm and a printing algorithm; The fiber layer after secondary processing is taken as a digital paper sheet.

5. The method of claim 4, wherein, The CA certificate corresponding to the feature data of the digital paper sheet and the private key of the authority is generated, including: The feature data of the digital paper sheet is extracted, wherein the feature data of the structure of each fiber comprises secondary processing result data; The feature data is stored in a standard universal markup language file; The corresponding hash value of the universal markup language file and the private key of the authority is taken as the digital signature of the CA certificate, and the digital signature is taken as the serial number of the digital paper sheet.

6. A digital paper generating apparatus characterized by comprising: The device comprises: An acquisition module configured to acquire the digest value of the digital paper sheet according to the production serial number of the digital paper sheet or according to the end identifier information and the customer dynamic password; A mapping module configured to determine the first distribution feature data of the anti-fake fiber corresponding to the digest value according to the mapping relationship between each character in the digest value and the anti-fake fiber distribution feature table, wherein the first distribution feature data comprises one or a combination of length, color, three-dimensional coordinates, shape and posture; A superposition module configured to superimpose the anti-fake fiber and the papermaking fiber into a digital paper sheet according to the first distribution feature data and the second distribution feature data of the papermaking fiber; A sending module configured to generate the CA certificate corresponding to the feature data of the digital paper sheet and the private key of the authority, and send the CA certificate and the digital paper sheet to the receiving end, wherein the feature data comprises the first distribution feature data, the second distribution feature data and the feature data representing the structure of each fiber.

7. A digital paper generating apparatus according to claim 6, wherein The mapping module is configured to: Take the character corresponding to the first bit of the digest value as the current character from the first bit of the digest value; Randomly generate a plurality of feature values for each anti-fake fiber distribution feature for the current character; combine the plurality of feature values of each anti-fake fiber distribution feature into an anti-fake fiber distribution feature table; Randomly map the current character to a plurality of anti-fake fiber distribution features in the anti-fake fiber distribution feature table, and randomly select one of the feature values of each anti-fake fiber distribution feature as the feature value corresponding to the current character; Take the anti-fake fiber distribution feature corresponding to the current character and the corresponding feature value as the distribution feature data of the anti-fake fiber corresponding to the current character; Take the next sequential character of the current character as the current character, and return to execute the step of randomly generating a plurality of feature values for each anti-fake fiber distribution feature until the step of taking the anti-fake fiber distribution feature corresponding to the current character and the corresponding feature value as the distribution feature data of the anti-fake fiber corresponding to the current character is executed, until all characters of the digest value are traversed; Take the set of distribution feature data of each anti-fake fiber as the first distribution feature data.

8. The digital paper generating apparatus according to claim 6, wherein The superposition module is configured to: Generate the anti-fake fiber according to the first distribution feature data, and generate the papermaking fiber according to the second distribution feature data; Assemble the anti-fake fiber and the papermaking fiber into a fiber layer; The papermaking fibers in the fiber layer are processed by a secondary processing algorithm, wherein the secondary processing algorithm comprises one or a combination of a fiber swelling algorithm and a printing algorithm; The fiber layer processed by the secondary processing algorithm is used as a digital paper.

9. A digital paper generating apparatus according to claim 8, wherein The sending module is configured to: extract feature data of the digital paper, wherein the feature data of the individual fiber structure comprises secondary processing result data; store the feature data in a standard universal markup language file; splice the universal markup language file with a corresponding hash value of an authority private key as a digital signature of the CA certificate.

10. A system for dispensing digital paper, characterized by The system comprises a paper issuing end, a receiving end, and an authority, wherein the paper issuing end is configured to perform the method according to any one of claims 1-5; the receiving end is configured to send a dynamic password to the paper issuing end, receive the digital paper and the CA certificate returned by the paper issuing end, and initiate a verification request to the authority according to the CA certificate; the authority is configured to verify the CA certificate according to the verification request, and return a verification result to the receiving end.

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