Multi-source confidential data intelligent fusion analysis method based on engineering management system

Abstract

The invention discloses a multi-source confidential data intelligent fusion analysis method based on an engineering management system, and relates to the technical field of engineering management intelligent system information security analysis, and the method comprises the following steps: S1, system initialization, S2, privacy mask generation, S3, confidential transmission of multi-source data, and S4, fault-tolerant confidential fusion analysis. According to the application, the intelligent terminal sensor equipment and the engineering management system control center form a group annular structure logically, the group secret parameter used for generating the message authentication code is generated, when the ciphertext data is generated, even if the group password parameter is leaked, key plaintext information cannot be leaked, and the data confidentiality is effectively enhanced; the system has a transmission fault tolerance function, so that even if a small part of intelligent terminal sensor equipment goes wrong in a network and data is not transmitted in time, as long as the system reaches a threshold value, normal intelligent fusion analysis of the system cannot be influenced; the multi-dimensional data is compressed into a single data block, so that the communication overhead of data transmission is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of information security analysis of engineering management intelligent systems, and specifically relates to an intelligent fusion analysis method for multi-source confidential data based on an engineering management system. Background Art

[0002] Engineering management intelligent systems utilize modern information technologies such as the Internet of Things, cloud computing, and big data to achieve real-time sharing of project information, automated task allocation, visual progress monitoring, and precise cost control. It can not only improve project management efficiency but also bring about deep-level changes such as scientific decision-making and close teamwork. Specifically, it can centrally store all information related to the project, including project documents, drawings, contracts, change records, etc., to achieve unified management and rapid retrieval of information. By integrating artificial intelligence technologies such as machine learning and natural language processing, engineering management intelligent systems can more intelligently identify and handle problems and risks in engineering projects. Through technologies such as big data analysis and cloud computing, based on massive data and deep learning algorithms, the system can not only accurately predict risks, optimize resource allocation, but also provide optimal strategy suggestions for managers, realizing the leap from assisted decision-making to autonomous decision-making. Combined with the 5G high-speed network, high-definition videos and massive sensor data on the construction site can be transmitted back in real time without lag, and the intelligent system can respond instantly. Remote control of heavy machinery and automated equipment for precise operation is expected to become the norm, further improving construction efficiency and safety.

[0003] At the same time, engineering management intelligent systems generate a large amount of data to drive applications, and then these applications can in turn feed back to the intelligent system for innovation and improvement. However, new problems also arise. Because intelligent terminal sensor devices monitor and collect data from various dimensions in real time, and the data generated by these terminal entities often contains sensitive information of core projects. If no processing is done on the collected and transmitted data, malicious attackers outside the system can obtain the data by eavesdropping on the communication channel. Malicious attackers can also analyze this data to obtain valuable information. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide an intelligent fusion analysis method for multi-source confidential data based on an engineering management system.

[0005] The purpose of the present invention is achieved through the following technical solutions: The present invention discloses an intelligent fusion analysis method for multi-source confidential data based on an engineering management system, including the following steps: S1. System initialization: The control center of the project management system generates the public parameters of the system. The public parameters include a multiplicative cyclic group, a generator, a message authentication code, and a set of public parameters based on the Chinese Remainder Theorem. At the same time, the control center of the project management system securely stores a partial set of secret parameters based on the Chinese Remainder Theorem. S2. Generate a privacy mask: Multiple intelligent terminal sensor devices and the control center of the project management system form a group ring structure logically, generate group secret parameters for generating a message authentication code, and generate a privacy mask based on the Lagrange interpolation polynomial. S3. Securely transmit multi-source data: Collect multi-dimensional sensitive data in the environment of the project management system. The intelligent terminal sensor devices compress the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypt the compressed single data block, and send it to the control center of the project management system. S4. Fault-tolerant secure fusion analysis: Assume that the number of intelligent terminal sensor devices in the project management system that can normally collect multi-dimensional sensitive data and encrypt and send it to the control center of the project management system in a timely manner reaches at least the threshold value. Then, the control center of the project management system linearly fuses the effective ciphertexts and performs fault-tolerant secure fusion analysis using its own privacy mask and group secret parameters.

[0006] Further, step S1 specifically includes the following steps: S11. The control center of the project management system selects two large prime numbers p and q , and satisfies , sets a multiplicative cyclic group G of order , and selects a generator . S12. The control center of the project management system sets a message authentication code . S13. The control center of the project management system sets the dimension of the multi-source data generated by the intelligent terminal sensor devices as , and sets the corresponding maximum value for each dimension of data. S14. The control center of the project management system selects different prime numbers based on the Chinese Remainder Theorem, where each prime number , and among them , represents the total number of intelligent terminal sensor devices. S15. The control center of the project management system calculates the product value of different prime numbers , and satisfies , and calculates the first set and the second set ; S16. The engineering management system control center publishes the set of public parameters of the system , and secretly stores different prime numbers and the second set .

[0007] Preferably, in step S2, the engineering management system control center and intelligent terminal sensor devices logically form a group ring structure, generate group secret parameters for generating message authentication codes, and generate privacy masks based on Lagrange interpolation polynomials, specifically including the following steps: S21. Assume that the identity identifier of the engineering management system control center is , and the identity identifier of the intelligent terminal sensor device is , where ; The intelligent terminal sensor device randomly selects two non-zero elements in the finite field and respectively; Calculate the first public element , the second public element , and send the second public element to the left neighbor node and the right neighbor node in the group ring structure respectively; S22. If the intelligent terminal sensor device receives the third public element from the left neighbor node , and receives the fourth public element from the right neighbor node , the intelligent terminal sensor device calculates the public first cyclic group element , and broadcasts it; If the corresponding second public cyclic group element is obtained from other nodes , then the intelligent terminal sensor device calculates the group secret parameter ; S23. The intelligent terminal sensor device randomly selects a non-zero element in the finite field , constructs degree polynomial , where are the coefficients of the polynomial; Using the group secret parameter , the intelligent terminal sensor device Calculate the corresponding message authentication code , where is the timestamp of the intelligent terminal sensor device ; The intelligent terminal sensor device sends the first five-tuple information to other nodes respectively through a secure channel; S24. The intelligent terminal sensor device receives the second five-tuple information , where is the timestamp of other nodes , calculates the aggregated information , where represents the subscript of other intelligent terminal sensor devices excluding the th intelligent terminal sensor device, and further calculates the privacy mask .

[0008] Preferably, step S3 specifically includes the following steps: S31. The intelligent terminal sensor device uses the first set to compress the collected -dimensional sensitive data into a single data block ; S32. The intelligent terminal sensor device uses the corresponding privacy mask and the group secret parameter to generate the ciphertext of the single data block , and sends the binary tuple information to the project management system control center.

[0009] Preferably, step S4 specifically includes the following steps: S41. Assume that the number of intelligent terminal sensor devices in the project management system that can normally collect multi-dimensional sensitive data and encrypt and send it to the project management system control center in a timely manner is , where , The subscript set of the intelligent terminal sensor devices is ; If , then the project management system control center linearly fuses the valid ciphertexts to obtain the aggregated ciphertext ; S42. The project management system control center uses its own privacy mask and the group secret parameter to decrypt the aggregated ciphertext to obtain the aggregated plaintext ; S43. The project management system control center utilizes the second set , and obtains the aggregation value of each dimension ; Thus, under the condition of confidentiality, the project management system control center can finely fuse and analyze the calm state value of each dimension of data, and finally perform parameter optimization and decision-making analysis on the relevant project management system.

[0010] The beneficial effects of the present invention are as follows: 1) In this application, the intelligent terminal sensor device and the project management system control center form a group ring structure logically, generating group secret parameters for generating message authentication codes. In this way, when generating ciphertext data, even if the group password parameters are leaked, the key plaintext information will not be leaked, which can effectively enhance data confidentiality.

[0011] 2) This application has the function of transmission fault tolerance. Even if a small number of intelligent terminal sensor devices have problems in the network and do not transmit data in time, as long as the system reaches the threshold value, it will not affect the normal intelligent fusion analysis of the system.

[0012] 3) This application adopts the Chinese Remainder Theorem to compress multi-dimensional data into a single data block, which can effectively reduce the communication overhead of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a step schematic diagram of the intelligent fusion analysis method for multi-source confidential data based on the project management system in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] Next, the technical solutions of the present invention will be described clearly and completely in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0015] The present invention is directed to the technical field of information security analysis of project management intelligent systems, and proposes an intelligent fusion analysis method for multi-source confidential data based on the project management system, which has practical application value. The step schematic diagram is as Figure 1 shown, and includes the following steps: S1. System initialization. The project management system control center generates the public parameters of the system. The public parameters include a multiplicative cyclic group, a generator, a message authentication code, and a public parameter set based on the Chinese Remainder Theorem. At the same time, the project management system control center securely stores a partial secret parameter set based on the Chinese Remainder Theorem; S2. Generate a privacy mask. Multiple intelligent terminal sensor devices and the engineering management system control center logically form a group ring structure, generate group secret parameters for generating message authentication codes, and generate a privacy mask based on Lagrange interpolation polynomials. S3. Securely transmit multi-source data. Collect multi-dimensional sensitive data in the environment of the engineering management system. The intelligent terminal sensor devices compress the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypt the compressed single data block, and send it to the engineering management system control center. S4. Fault-tolerant secure fusion analysis. Assume that the number of intelligent terminal sensor devices in the engineering management system that can normally collect multi-dimensional sensitive data and encrypt and send it to the engineering management system control center in a timely manner reaches at least the threshold value. Then the engineering management system control center linearly fuses the effective ciphertexts and performs fault-tolerant secure fusion analysis using its own privacy mask and group secret parameters.

[0016] Specifically, the engineering management system control center generates the public parameters of the system. Step S1 specifically includes the following steps: S11. The engineering management system control center selects two large prime numbers p and q , and satisfies , sets order multiplicative cyclic group G, and selects a generator . S12. The engineering management system control center sets a message authentication code . S13. The engineering management system control center sets the dimension of the multi-source data generated by the intelligent terminal sensor devices to , and sets the corresponding maximum value for each dimension data. S14. The engineering management system control center selects different prime numbers based on the Chinese Remainder Theorem, where each prime number , and among them , represents the total number of intelligent terminal sensor devices. S15. The engineering management system control center calculates the product value of different prime numbers , and satisfies , calculates the first set and the second set . S16. The engineering management system control center publishes the system public parameter set , and secretly stores different prime numbers and the second set .

[0017] Specifically, in step S2, the project management system control center and a number of intelligent terminal sensor devices logically form a group ring structure, generate group secret parameters for generating message authentication codes, and generate privacy masks based on Lagrange interpolation polynomials, specifically including the following steps: S21. Assume that the identity identifier of the project management system control center is , and the identity identifier of the intelligent terminal sensor device is , where ; The intelligent terminal sensor device randomly selects two non-zero elements and in the finite field respectively; Calculate the first public element , the second public element , and send the second public element to the left neighbor node and the right neighbor node in the group ring structure respectively; S22. If the intelligent terminal sensor device receives the third public element from the left neighbor node , and receives the fourth public element from the right neighbor node , the intelligent terminal sensor device calculates the public first cyclic group element and broadcasts it; If the corresponding second public cyclic group element is obtained from other nodes , then the intelligent terminal sensor device calculates the group secret parameter ; S23. The intelligent terminal sensor device randomly selects a non-zero element in the finite field , constructs degree polynomial , where are the coefficients of the polynomial; Using the group secret parameter , the intelligent terminal sensor device calculates the corresponding message authentication code , where is the timestamp of the intelligent terminal sensor device ; The intelligent terminal sensor device The first five-tuple information is transmitted through a secure channel Send to other nodes separately ; S24, intelligent terminal sensor equipment Receive the second five-tuple information ,in Other nodes Timestamp, calculate aggregation information ,in Indicates that it does not include The subscripts of other smart terminal sensor devices of smart terminal sensor devices are further calculated to obtain the privacy mask .

[0018] Specifically, the intelligent terminal sensor device compresses the collected multi-dimensional sensitive data in the engineering management system environment according to the Chinese remainder theorem method, generates a compressed single data block for encryption, and sends it to the engineering management system control center. Step S3 specifically includes the following steps: S31, Intelligent terminal sensor equipment Using the first set The collected Dimension sensitive data Compressed into a single block ; S32, intelligent terminal sensor equipment Use the corresponding privacy mask and group secret parameters Generate a single data block The ciphertext , and the two-tuple information Sent to the engineering management system control center.

[0019] Specifically, assuming that the engineering management system can normally collect multi-dimensional sensitive data and timely encrypt and send the data to the engineering management system control center, the number of intelligent terminal sensor devices reaches at least the threshold value; the engineering management system control center linearly fuses the effective ciphertext and uses its own privacy mask and group secret parameters to perform fault-tolerant confidentiality fusion analysis. Step S4 specifically includes the following steps: S41. Assume that the number of intelligent terminal sensor devices that can normally collect multi-dimensional sensitive data in the engineering management system and encrypt and send it to the engineering management system control center in a timely manner is ,in , The subscript set of smart terminal sensor devices is ;like , then the engineering management system control center linearly fuses the effective ciphertexts to obtain the aggregated ciphertext ; S42. The project management system control center uses its own privacy mask and the group secret parameter to decrypt the aggregated ciphertext to obtain the aggregated plaintext ; S43. The project management system control center uses the second set to obtain the aggregated value of each dimension ; Thus, under the condition of confidentiality, the project management system control center can finely fuse and analyze the calm state values of each dimension of data, and finally perform parameter optimization and decision analysis of the relevant project management system.

[0020] Exemplarily, the correctness derivation of the intelligent fusion analysis method for multi-source confidential data of the project management system is as follows: The project management system control center uses its own privacy mask and the group secret parameter to decrypt the aggregated ciphertext, and the correctness fusion analysis and decryption are as follows: .

[0021] Exemplarily, the present invention logically forms a group ring structure between the intelligent terminal sensor device and the project management system control center, generates group secret parameters for generating message authentication codes. In this way, when generating ciphertext data, even if the group password parameter is leaked, the key plaintext information will not be leaked, which can effectively enhance data confidentiality; it has the function of transmission fault tolerance. Even if a small number of intelligent terminal sensor devices have problems in the network and do not transmit data in time, as long as the system reaches the threshold value, it will not affect the normal intelligent fusion analysis of the system; at the same time, the Chinese Remainder Theorem is adopted to compress multi-dimensional data into a single data block, which can effectively reduce the communication overhead of data transmission.

[0022] The above is only the preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be changed within the scope of the concept described herein through the above teachings or the technology or knowledge in related fields. And the changes and modifications made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. An intelligent fusion analysis method for multi-source confidential data based on an engineering management system, characterized in that Including the following steps: S1. System initialization: The control center of the project management system generates the public parameters of the system. The public parameters include a multiplicative cyclic group, a generator, a message authentication code, and a set of public parameters based on the Chinese Remainder Theorem. At the same time, the control center of the project management system securely stores a partial set of secret parameters based on the Chinese Remainder Theorem; S2. Generating a privacy mask: Multiple intelligent terminal sensor devices and the control center of the project management system logically form a group ring structure, generate group secret parameters for generating a message authentication code, and generate a privacy mask based on the Lagrange interpolation polynomial; S3. Securely transmitting multi-source data: Collect multi-dimensional sensitive data in the environment of the project management system. The intelligent terminal sensor devices compress the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypt the compressed single data block, and send it to the control center of the project management system; S4. Fault-tolerant secure fusion analysis: Assume that the project management system can normally collect multi-dimensional sensitive data. The intelligent terminal sensor devices encrypt the multi-dimensional sensitive data in a timely manner and send it to the control center of the project management system; If the number of intelligent terminal sensor devices reaches at least the threshold value, the control center of the project management system linearly fuses the effective ciphertexts and performs fault-tolerant secure fusion analysis using its own privacy mask and group secret parameters.

2. The intelligent fusion analysis method for multi-source confidential data based on the engineering management system according to claim 1, wherein Step S1 specifically includes the following steps: S11. The project management system control center selects two large prime numbers p and q , and satisfies . Set -order multiplicative cyclic group G, and select a generator ; S12. A message authentication code is set in the control center of the project management system ; S13. The engineering management system control center sets the multi-source data dimensions generated by the intelligent terminal sensor devices to , and sets the corresponding maximum value for each dimension of data ; S14. The project management system control center selects different prime numbers , and each prime number , where , represents the total number of intelligent terminal sensor devices; S15. Calculate the product value of different prime numbers , and satisfy . Calculate the first set and the second set ; S16. The engineering management system control center publishes the public parameter set , and secretly stores different prime numbers and the second set .

3. The intelligent fusion analysis method for multi-source confidential data based on the engineering management system according to claim 2, characterized in that In step S2, the project management system control center and smart terminal sensor devices logically form a group ring structure, generate group secret parameters for generating message authentication codes, and generate privacy masks based on Lagrange interpolation polynomials, specifically including the following steps: S21. Assume that the identity identifier of the control center of the project management system is , and the identity identifier of the intelligent terminal sensor device is , where ; The intelligent terminal sensor device randomly selects two non-zero elements in the finite field and respectively; Calculate the first public element , the second public element , and send the second public element to the left neighbor node and the right neighbor node in the group ring structure respectively; S22. If the intelligent terminal sensor device receives a third public element from the left neighbor node , and receives a fourth public element from the right neighbor node , the intelligent terminal sensor device calculates the public first cyclic group element and broadcasts it; if the corresponding second public cyclic group element is obtained from other nodes , then the intelligent terminal sensor device calculates the group secret parameter ; S23, Smart Terminal Sensor Device Randomly select a non - zero element in a finite field to construct a - degree polynomial , where are the coefficients of the polynomial; Using the group secret parameter , the smart terminal sensor device calculates the corresponding message authentication code , where is the timestamp of the smart terminal sensor device ; The smart terminal sensor device sends the first five - tuple information to other nodes respectively through a secure channel; S24, Intelligent Terminal Sensor Device Receives the second five-tuple information , where is the timestamp of other nodes , calculate the aggregated information , where represents the subscript of other intelligent terminal sensor devices excluding the th intelligent terminal sensor device, and further calculate the privacy mask .

4. The intelligent fusion analysis method for multi-source confidential data based on the engineering management system according to claim 3, wherein, Step S3 specifically includes the following steps: S31. Intelligent terminal sensor device Using the first set The collected dimensional sensitive data is compressed into a single data block ; S32, Intelligent Terminal Sensor Device Using the corresponding privacy mask and the group secret parameter to generate the ciphertext of a single data block , and send the binary group information to the control center of the engineering management system .

5. The intelligent fusion and analysis method for multi-source confidential data based on the engineering management system according to claim 4, wherein, Step S4 specifically includes the following steps: S41. Assume that the number of intelligent terminal sensor devices in the project management system that can normally collect multi-dimensional sensitive data and encrypt and send it to the control center of the project management system in a timely manner is , where , . The subscript set of intelligent terminal sensor devices is . If , the control center of the project management system will linearly fuse the valid ciphertexts to obtain the aggregated ciphertext . S42. The engineering management system control center uses its own privacy mask and the group secret parameter to decrypt the aggregated ciphertext to obtain the aggregated plaintext ; S43. The engineering management system control center utilizes the second set to obtain the aggregation value of each dimension ; thus, under the condition of confidentiality, the engineering management system control center finely fuses and analyzes the calm state value of each dimension of data, and finally conducts parameter optimization and decision-making analysis of the relevant engineering management system.

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