An engineering archive automatic verification method and system based on intelligent electronic signature

Abstract

The application discloses an engineering archive automatic verification method and system based on intelligent electronic signature, and the method comprises the following steps: obtaining the electronic signature information of a user on an engineering archive, wherein the electronic signature information comprises user historical signature information, network delay, verification error rate of the electronic signature and total verification times of the electronic signature; setting an electronic signature legality evaluation model, and calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold value, and when the electronic signature legality evaluation value exceeds the preset legality threshold value, the electronic signature legality evaluation value corresponds to the electronic signature legality evaluation value; the engineering archive that passes the verification is stored and audited in batches, thereby improving the engineering archive processing efficiency.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electronic signature processing, and more particularly to an engineering archive automatic verification method and system based on intelligent electronic signature. BACKGROUND

[0002] Electronic signatures are used to verify the identity and integrity of documents or transactions, ensuring the consent of the signatory. They replace handwritten signatures in scenarios such as contracts, legal documents, financial transactions, etc., improving efficiency and security.

[0003] Verifying the legality of an electronic signature usually involves the following steps: first, check if the digital certificate of the signature is issued by a trusted certificate authority (CA); second, use the public key to decrypt the signature and get the hash value of the original data; then, calculate the hash value of the current content of the document and compare it with the decrypted hash value; finally, confirm whether the identity of the signer is consistent with the information in the certificate. If all these conditions are met, the electronic signature is considered legal and valid.

[0004] However, the security of this verification method is low, for example, hackers steal user identity information and perform electronic signature on the file, so there is an urgent need for a technical solution to improve the security of electronic signature. SUMMARY

[0005] To solve the above technical problems, the application provides an engineering archive automatic verification method based on intelligent electronic signature, which comprises:

[0006] Obtain the electronic signature information of the user on the engineering archive, wherein the electronic signature information includes: user historical signature information, network delay, verification error rate of electronic signature and total verification times of electronic signature;

[0007] Set up an electronic signature legality evaluation model, and calculate the electronic signature legality evaluation value according to the electronic signature information, compare it with the preset legality threshold value, and when the electronic signature legality evaluation value exceeds the preset legality threshold value, the electronic signature legality evaluation value corresponding to the electronic signature legality evaluation value passes the electronic signature legality evaluation value;

[0008] The engineering archives that pass the verification are stored and audited in batches, thereby improving the processing efficiency of engineering archives.

[0009] Further, the electronic signature legality evaluation model comprises:

[0010]

[0011] Wherein, L is the electronic signature legality evaluation value, t fis the end time of the integration, t0is the start time of the integration, a is a first adjustment factor for the legality assessment, S(t) is a state value of the electronic signature at time t, β is a second adjustment factor for the legality assessment, δ is a third adjustment factor for the legality assessment, f(R(t), H(t)) is an influence function of the user historical signature information R(t) at time t and the network delay H(t) at time t on the legality assessment of the electronic signature, ε is a fourth adjustment factor for the legality assessment, k is a fifth adjustment factor for the legality assessment, and T(t) is a time interval from generating the electronic signature at time t to completing the verification.

[0012] Further, the influence function f(R(t), H(t)) of the user historical signature information R(t) at time t and the network delay H(t) at time t on the legality assessment of the electronic signature includes:

[0013]

[0014] where θ1is a first weight of the influence function, R s (t) is a number of successful verifications of the electronic signature at time t, R t (t) is a total number of verifications of the electronic signature at time t, a' is a first adjustment factor of the influence function, θ2is a second weight of the influence function, θ3is a third weight of the influence function, β' is a second adjustment factor of the influence function, θ4is a fourth weight of the influence function, R c (t) is a number of invalid verifications of the electronic signature at time t, R s (t), R c (t), and R t (t) belong to R(t).

[0015] Further, the state value S(t) of the electronic signature at time t includes:

[0016]

[0017] where θ5is a first weight of the state value of the electronic signature, C(t) is a length of the electronic signature, V is a second weight of the state value of the electronic signature, λ is an adjustment factor of the state value of the electronic signature, θ6is a third weight of the state value of the electronic signature, and g(V(t')) is an electronic signature verification evaluation function according to a time V(t') required for verifying the electronic signature at time t', used to describe complexity of the verification process.

[0018] Further, the electronic signature verification evaluation function g(V(t')) according to the time V(t') required for verifying the electronic signature at time t' includes:

[0019]

[0020] Wherein, mu is the first adjustment factor of electronic signature verification evaluation, eta is the second adjustment factor of electronic signature verification evaluation, E(t') is the verification error rate of electronic signature in time t', T'(t') is the total verification times of electronic signature in time t'.

[0021] Further, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0022] The application also proposes an engineering archive automatic verification system based on intelligent electronic signature, comprising:

[0023] The acquisition information module is used for acquiring the electronic signature information of the user on the engineering archive, wherein the electronic signature information comprises user historical signature information, network delay, verification error rate of electronic signature and total verification times of electronic signature.

[0024] The evaluation module is used for setting an electronic signature legality evaluation model, and calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold value, and when the electronic signature legality evaluation value exceeds the preset legality threshold value, the electronic signature legality evaluation value corresponds to the electronic signature legality evaluation value.

[0025] The processing module is used for batch storing and batch auditing the engineering archives that pass the verification, thereby improving the engineering archive processing efficiency.

[0026] Further, the electronic signature legality evaluation model comprises:

[0027]

[0028] Wherein, L is the electronic signature legality evaluation value, t f is the end time of integration, t0 is the start time of integration, alpha is the first adjustment factor of legality evaluation, S(t) is the state value of electronic signature at time t, beta is the second adjustment factor of legality evaluation, delta is the third adjustment factor of legality evaluation, f(R(t), H(t)) is the influence function of user historical signature information R(t) at time t and network delay H(t) at time t on electronic signature legality evaluation, epsilon is the fourth adjustment factor of legality evaluation, k is the fifth adjustment factor of legality evaluation, and T(t) is the time interval from generating electronic signature to completing verification at time t.

[0029] Further, the influence function f(R(t), H(t)) of user historical signature information R(t) at time t and network delay H(t) at time t on electronic signature legality evaluation comprises:

[0030]

[0031] wherein θ1 is a first weight of the influence function, R s (t) is the number of successful verifications of the electronic signature at time t, R t (t) is the total number of verifications of the electronic signature at time t, α' is a first adjustment factor of the influence function, θ2 is a second weight of the influence function, θ3 is a third weight of the influence function, β' is a second adjustment factor of the influence function, θ4 is a fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature at time t, R s (t) is the number of invalid verifications of the electronic signature at time t, R c (t) is the number of invalid verifications of the electronic signature at time t, R t (t) is the number of invalid verifications of the electronic signature at time t, R

[0032] Further, the status value S(t) of the electronic signature at time t comprises:

[0033]

[0034] wherein θ5 is a first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is a second weight of the electronic signature status value, λ is an adjustment factor of the electronic signature status value, θ6 is a third weight of the electronic signature status value, g(V(t')) is an electronic signature verification evaluation function according to the time V(t') required for verifying the electronic signature at time t', used to describe the complexity of the verification process.

[0035] Overall, compared with the prior art, the above technical scheme conceived by the present application has the following beneficial effects:

[0036] Through the technical scheme of the present application, the legality of the electronic signature can be verified, saving the cost of manual verification and improving the efficiency of file processing. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 is a flowchart of the method of embodiment 1 of the present application;

[0038] Figure 2 is a structural diagram of the system of embodiment 2 of the present application. DETAILED DESCRIPTION

[0039] In order to better understand the above technical scheme, the above technical scheme will be described in detail below in conjunction with the drawings in the specification and specific implementation manners.

[0040] The method provided by the present application can be implemented in a terminal environment, which can include one or more of the following components: a processor, a storage medium and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0041] The processor can include one or more processing cores. The processor connects various parts within the terminal through various interfaces and lines, performs various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0042] The storage medium can include a random access memory (RAM) and can also include a read-only memory (ROM). The storage medium can be used to store instructions, programs, codes, code sets or instructions.

[0043] The display screen is used to display the user interface of each application program.

[0044] In addition, those skilled in the art can understand that the structure of the terminal described above does not constitute a limitation on the terminal, and the terminal can include more or fewer components, or combine certain components, or different component arrangements. For example, the terminal also includes radio frequency circuitry, input units, sensors, audio circuitry, power supplies, and other components, which are not described here.

[0045] Embodiment 1

[0046] As shown in Figure 1 The embodiment of the present application provides an engineering archive automatic verification method based on intelligent electronic signature, which comprises:

[0047] Step 101, obtaining electronic signature information of a user on an engineering archive, wherein the electronic signature information comprises: user historical signature information, network delay, verification error rate of electronic signature, and total verification times of electronic signature;

[0048] Step 102, setting an electronic signature legality evaluation model, and calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold value, when the electronic signature legality evaluation value exceeds the preset legality threshold value, the electronic signature legality evaluation value corresponding to the electronic signature legality evaluation value passes the electronic signature legality evaluation value.

[0049] Specifically, the electronic signature legality evaluation model comprises:

[0050]

[0051] Wherein, L is the electronic signature legality evaluation value, t fis the end time of the integration, t0is the start time of the integration, a is a first adjustment factor for the legality assessment, S(t) is a state value of the electronic signature at time t, β is a second adjustment factor for the legality assessment, δ is a third adjustment factor for the legality assessment, f(R(t), H(t)) is an influence function of the user historical signature information R(t) at time t and the network delay H(t) at time t on the legality assessment of the electronic signature, ∈ is a fourth adjustment factor for the legality assessment, k is a fifth adjustment factor for the legality assessment, and T(t) is a time interval from generating the electronic signature at time t to completing the verification.

[0052] Specifically, the influence function f(R(t), H(t)) of the user historical signature information R(t) at time t and the network delay H(t) at time t on the legality assessment of the electronic signature includes:

[0053]

[0054] where θ1is a first weight of the influence function, R s (t) is a number of successful verifications of the electronic signature at time t, R t (t) is a total number of verifications of the electronic signature at time t, a' is a first adjustment factor of the influence function, θ2is a second weight of the influence function, θ3is a third weight of the influence function, β' is a second adjustment factor of the influence function, θ4is a fourth weight of the influence function, R c (t) is a number of invalid verifications of the electronic signature at time t, R s (t), R c (t), and R t (t) belong to R(t).

[0055] Specifically, the state value S(t) of the electronic signature at time t includes:

[0056]

[0057] where θ5is a first weight of the electronic signature state value, C(t) is a length of the electronic signature, V is a second weight of the electronic signature state value, λ is an adjustment factor of the electronic signature state value, θ6is a third weight of the electronic signature state value, and g(V(t')) is an electronic signature verification evaluation function according to a time V(t') required for verifying the electronic signature at time t', used to describe complexity of the verification process.

[0058] Specifically, the electronic signature verification evaluation function g(V(t')) according to the time V(t') required for verifying the electronic signature at time t' includes:

[0059]

[0060] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t') is the verification error rate of the electronic signature in time t', T'(t') is the total verification times of the electronic signature in time t'.

[0061] Specifically, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0062] Step 103, the engineering archives that pass the verification are stored and audited in batches, so as to improve the engineering archives processing efficiency.

[0063] Embodiment 2

[0064] As Figure 2 shown, the embodiment of the application also provides an engineering archive automatic verification system based on intelligent electronic signature, comprising:

[0065] An information acquisition module is configured to acquire electronic signature information of a user on an engineering archive, wherein the electronic signature information comprises user historical signature information, network delay, verification error rate of the electronic signature, and total verification times of the electronic signature.

[0066] An evaluation module is configured to set an electronic signature legality evaluation model, calculate an electronic signature legality evaluation value according to the electronic signature information, compare the electronic signature legality evaluation value with a preset legality threshold, and when the electronic signature legality evaluation value exceeds the preset legality threshold, the electronic signature legality evaluation value corresponds to a verified electronic signature.

[0067] Specifically, the electronic signature legality evaluation model comprises:

[0068]

[0069] Wherein, L is the electronic signature legality evaluation value, t f is the end time of integration, t0 is the start time of integration, α is the first adjustment factor of legality evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of legality evaluation, δ is the third adjustment factor of legality evaluation, f(R(t), H(t)) is the influence function of the user historical signature information R(t) at time t and the network delay H(t) at time t on the electronic signature legality evaluation, E is the fourth adjustment factor of legality evaluation, k is the fifth adjustment factor of legality evaluation, and T(t) is the time interval from generating the electronic signature to completing the verification at time t.

[0070] Specifically, the influence function f(R(t), H(t)) of the user historical signature information R(t) at time t and the network delay H(t) at time t on the electronic signature legality evaluation comprises:

[0071]

[0072] wherein θ1 is a first weight of the influence function, R s (t) is the number of successful verifications of the electronic signature at time t, R t (t) is the total number of verifications of the electronic signature at time t, α' is a first adjustment factor of the influence function, θ2 is a second weight of the influence function, θ3 is a third weight of the influence function, β' is a second adjustment factor of the influence function, θ4 is a fourth weight of the influence function, R c (t) is the number of failed verifications of the electronic signature at time t, R s (t) is the total number of verifications of the electronic signature at time t, R c (t) and R t (t) belongs to R(t).

[0073] In particular, the state value S(t) of the electronic signature at time t comprises:

[0074]

[0075] wherein θ5 is a first weight of the electronic signature state value, C(t) is the length of the electronic signature, V is a second weight of the electronic signature state value, λ is an adjustment factor of the electronic signature state value, θ6 is a third weight of the electronic signature state value, and g(V(t')) is an electronic signature verification evaluation function of the time V(t') required for verifying the electronic signature at time t', used to describe the complexity of the verification process.

[0076] In particular, the electronic signature verification evaluation function g(V(t')) of the time V(t') required for verifying the electronic signature at time t' comprises:

[0077]

[0078] wherein μ is a first adjustment factor of the electronic signature verification evaluation, ηη is a second adjustment factor of the electronic signature verification evaluation, E(t') is the verification error rate of the electronic signature at time t', and T'(t') is the total number of verifications of the electronic signature at time t'.

[0079] In particular, all the weights and adjustment factors are fitted by a gradient descent method or an ant colony algorithm.

[0080] The processing module is configured to batch store and batch audit the engineering archives that pass the verification, thereby improving the efficiency of processing the engineering archives.

[0081] Embodiment 3

[0082] The embodiment of the present application also provides a storage medium, which stores a plurality of instructions for implementing the method.

[0083] Optionally, in the embodiment, the storage medium can be located in any one of computer terminals in a computer terminal group in a computer network or any one of mobile terminals in a mobile terminal group.

[0084] Optionally, in the embodiment, the storage medium is configured to store program codes for performing the following steps: step 101, obtaining electronic signature information of a user on an engineering archive, wherein the electronic signature information comprises user historical signature information, network delay, verification error rate of the electronic signature and total verification times of the electronic signature;

[0085] Step 102, setting an electronic signature legality evaluation model, and calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold, and when the electronic signature legality evaluation value exceeds the preset legality threshold, the electronic signature legality evaluation value corresponds to electronic signature verification passing;

[0086] Specifically, the electronic signature legality evaluation model comprises:

[0087]

[0088] Wherein, L is the electronic signature legality evaluation value, t f is the end time of integration, t0 is the start time of integration, α is the first adjustment factor of legality evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of legality evaluation, δ is the third adjustment factor of legality evaluation, f(R(t), H(t)) is the influence function of the user historical signature information R(t) at time t and the network delay H(t) at time t on the electronic signature legality evaluation, ∈ is the fourth adjustment factor of legality evaluation, k is the fifth adjustment factor of legality evaluation, and T(t) is the time interval from generating the electronic signature at time t to completing verification.

[0089] Specifically, the influence function f(R(t), H(t)) of the user historical signature information R(t) at time t and the network delay H(t) at time t on the electronic signature legality evaluation comprises:

[0090]

[0091] Wherein, θ1 is the first weight of the influence function, R s (t) is the number of successful verifications of the electronic signature at time t, R t(t) is the total number of valid verifications of the electronic signature at time t, a' is a first adjustment factor of the influence function, 0 2 is a second weight of the influence function, 0 3 is a third weight of the influence function, b' is a second adjustment factor of the influence function, 0 4 is a fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature at time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0092] Specifically, the state value S(t) of the electronic signature at time t includes:

[0093]

[0094] wherein 0 5 is a first weight of the electronic signature state value, C(t) is the length of the electronic signature, V is a second weight of the electronic signature state value, l is an adjustment factor of the electronic signature state value, 0 6 is a third weight of the electronic signature state value, and g(V(t')) is an electronic signature verification evaluation function according to the time V(t') required for verifying the electronic signature at time t', used to describe the complexity of the verification process.

[0095] Specifically, the electronic signature verification evaluation function g(V(t')) according to the time V(t') required for verifying the electronic signature at time t' includes:

[0096]

[0097] wherein m is a first adjustment factor of the electronic signature verification evaluation, h is a second adjustment factor of the electronic signature verification evaluation, E(t') is the verification error rate of the electronic signature at time t', and T'(t') is the total number of verifications of the electronic signature at time t'.

[0098] Specifically, all the weights and adjustment factors are fitted by a gradient descent method or an ant colony algorithm.

[0099] Step 103, storing and auditing the engineering archives in batches after the verification, so as to improve the processing efficiency of the engineering archives.

[0100] Embodiment 4

[0101] The embodiment of the present application also provides an electronic device, which comprises a processor and a storage medium connected with the processor, the storage medium stores a plurality of instructions, the instructions can be loaded and executed by the processor, so that the processor can execute the method for automatically verifying engineering archives based on intelligent electronic signature.

[0102] In particular, the electronic device of the embodiment can be a computer terminal, which can include one or more processors and a storage medium.

[0103] The storage medium can be used to store software programs and modules, such as a kind of engineering archive automatic verification method based on intelligent electronic signature in the embodiment of the application, corresponding program instruction / module, the processor executes various function applications and data processing by running the software programs and modules stored in the storage medium, that is, realizes the above-mentioned kind of engineering archive automatic verification method based on intelligent electronic signature. The storage medium can include a high-speed random storage medium, and can also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memories, or other non-volatile solid-state storage media. In some examples, the storage medium can further include a storage medium remotely arranged with respect to the processor, and these remote storage media can be connected to the terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0104] The processor can call the information and application programs stored in the storage medium through the transmission system to execute the following steps: step 101, obtaining the electronic signature information of the user on the engineering archive, wherein the electronic signature information includes: user historical signature information, network delay, verification error rate of electronic signature and total verification times of electronic signature;

[0105] Step 102, setting an electronic signature legality evaluation model, and calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold value, when the electronic signature legality evaluation value exceeds the preset legality threshold value, the electronic signature legality evaluation value corresponding to the electronic signature legality evaluation value passes the electronic signature legality evaluation value corresponding to the electronic signature legality evaluation value;

[0106] In particular, the electronic signature legality evaluation model includes:

[0107]

[0108] Wherein, L is the electronic signature legality evaluation value, t f is the end time of integration, t0 is the start time of integration, α is the first adjustment factor of legality evaluation, S(t) is the state value of electronic signature at time t, β is the second adjustment factor of legality evaluation, δ is the third adjustment factor of legality evaluation, f(R(t), H(t)) is the influence function of user historical signature information R(t) at time t and network delay H(t) at time t on electronic signature legality evaluation, ∈ is the fourth adjustment factor of legality evaluation, k is the fifth adjustment factor of legality evaluation, and T(t) is the time interval from generating electronic signature at time t to completing verification.

[0109] Specifically, the influence function f(R(t), H(t)) of the user historical signature information R(t) at time t and the network delay H(t) at time t on the electronic signature legality evaluation includes:

[0110]

[0111] where θ1 is a first weight of the influence function, R s (t) is the number of successful verifications of the electronic signature at time t, R t (t) is the total number of verifications of the electronic signature at time t, α' is a first adjustment factor of the influence function, θ2 is a second weight of the influence function, θ3 is a third weight of the influence function, β' is a second adjustment factor of the influence function, θ4 is a fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature at time t, R s (t) is the number of verifications of the electronic signature at time t, R c (t) and R t (t) belong to R(t).

[0112] Specifically, the state value S(t) of the electronic signature at time t includes:

[0113]

[0114] where θ5 is a first weight of the electronic signature state value, C(t) is the length of the electronic signature, v is a second weight of the electronic signature state value, λ is an adjustment factor of the electronic signature state value, θ6 is a third weight of the electronic signature state value, and g(V(t')) is an electronic signature verification evaluation function according to the time V(t') required for verifying the electronic signature at time t', used to describe the complexity of the verification process.

[0115] Specifically, the electronic signature verification evaluation function g(V(t')) according to the time V(t') required for verifying the electronic signature at time t' includes:

[0116]

[0117] where μ is a first adjustment factor of the electronic signature verification evaluation, η is a second adjustment factor of the electronic signature verification evaluation, E(t') is the verification error rate of the electronic signature at time t', and T'(t') is the total number of verifications of the electronic signature at time t'.

[0118] Specifically, all the weights and adjustment factors are fitted by a gradient descent method or an ant colony algorithm.

[0119] Step 103, storing and auditing the engineering archives in batches to improve the efficiency of processing the engineering archives.

[0120] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0121] In the above-mentioned embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0122] In the several embodiments of the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the embodiments described above are only schematic. For example, the division of units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, and can be electrical or other forms.

[0123] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0124] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0125] The integrated unit, if realized in the form of software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the essential part or all or part of the technical solutions which make contributions to the prior art can be embodied in the form of software product, and the computer software product is stored in a storage medium, including a plurality of instructions for making a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and various program code storage media.

[0126] Obviously, the above embodiments are merely example for clearly illustrating but not limitation to the embodiments. Based on the above description, other different forms of changes or variations can be made by those skilled in the art. Here, all the embodiments need not and can not be enumerated. The obvious changes or variations derived from the above description are still within the protection scope of the present application.

Claims

1. A method for automatic verification of engineering archives based on intelligent electronic signatures, characterized in that: include: Obtaining the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate, and total number of electronic signature verifications; Setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing the calculated value with a preset legitimacy threshold; when the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification; The electronic signature legitimacy assessment model includes: Among them, L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the status value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, κ is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature at time t to the completion of the verification; The verified engineering files will be stored and audited in batches to improve the efficiency of engineering file processing.

2. The method for automatic verification of engineering files based on intelligent electronic signature according to claim 1, characterized in that: The influence function f(R(t),H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature includes: Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

3. The method for automatic verification of engineering files based on intelligent electronic signature according to claim 2, characterized in that: The state value S(t) of the electronic signature at time t includes: Wherein, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, v is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

4. The method for automatic verification of engineering files based on intelligent electronic signature according to claim 3, characterized in that: The electronic signature verification evaluation function g(V(t′)) based on the time V(t′) required to verify the electronic signature at time t′ includes: Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

5. The method for automatic verification of engineering files based on intelligent electronic signature according to claim 4, characterized in that: All weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

6. An automatic verification system for engineering archives based on intelligent electronic signatures, characterized in that: include: An information acquisition module is used to obtain the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications; An evaluation module is configured to set an electronic signature legitimacy evaluation model, calculate an electronic signature legitimacy evaluation value based on the electronic signature information, and compare the calculated value with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification; The electronic signature legitimacy assessment model includes: Among them, L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the status value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, κ is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature at time t to the completion of the verification; The processing module is used to batch store and audit the verified engineering files, thereby improving the efficiency of engineering file processing.

7. The automatic verification system for engineering archives based on intelligent electronic signature according to claim 6, characterized in that: The influence function f(R(t),H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature includes: Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

8. The automatic verification system for engineering archives based on intelligent electronic signature according to claim 7, characterized in that: The state value S(t) of the electronic signature at time t includes: Wherein, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, ν is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

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