An intelligent electronic information exchange processing method and system

Abstract

The present invention discloses an intelligent electronic information exchange processing method and system, which relates to the field of information processing technology. The method and system calculate the anti-attack capability coefficient by obtaining the key length of the encryption algorithm used, and calculate the exchange network environment fluctuation coefficient by obtaining the network signal value of the encrypted electronic information during the exchange processing; obtain the data exchange quantity at different times to calculate the data volume exchange stagnation coefficient, calculate the encryption leakage risk coefficient according to the anti-attack capability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and judge whether there is an encryption leakage risk during the electronic information exchange processing and whether the exchange processing needs to be continued; the method can timely detect and prevent the encrypted data from being exposed to leakage risks during the information exchange process, ensure that the encrypted data will not be cracked or leaked during the exchange process, and reduce the possibility of security accidents.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an intelligent electronic information exchange processing method and system. Background Art

[0002] Electronic information exchange is a core component of modern information technology and is widely used in communications and data transmission across various industries. With the acceleration of global digitization, sensitive data, commercial information, government documents, and more are exchanged electronically. Ensuring the security of data during transmission has become paramount. To ensure the confidentiality, integrity, and availability of information, encryption technology is often used during information exchange to encrypt data and prevent it from being stolen or tampered with during transmission. Today's electronic information exchange methods often utilize symmetric encryption (such as AES) and asymmetric encryption (such as RSA) to ensure the security of data transmission. Furthermore, security measures such as key exchange, identity authentication, and data integrity verification are also widely used in these exchanges.

[0003] Although current electronic information exchange technology effectively ensures data security through encryption, potential security risks still exist. For example, current systems often assume that encrypted information is secure during the exchange process, ignoring the possible risk of leakage. This default assumption lacks a real-time detection and prevention mechanism for whether encrypted data may be at risk of leakage during information exchange, which may cause encrypted data to be cracked or leaked during the exchange process, resulting in serious security incidents. Summary of the Invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide an intelligent electronic information exchange processing method and system.

[0005] In a first aspect of the present invention, an intelligent electronic information exchange processing method is first proposed, the method comprising:

[0006] For encrypted electronic information, obtain the key length of the encryption algorithm used and calculate the anti-attack capability coefficient based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information;

[0007] Obtaining the network signal value of the encrypted electronic information during the exchange process, and calculating the exchange network environment fluctuation coefficient based on the network signal value, to assess the degree of network signal instability during the exchange process of the encrypted electronic information;

[0008] Obtaining the number of data exchanges at different times during the exchange process of the encrypted electronic information, and calculating a data exchange stagnation coefficient based on the number of data exchanges, to assess the degree of data stagnation during the exchange process of the encrypted electronic information;

[0009] The encryption leakage risk coefficient is calculated based on the anti-attack capability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and the encryption leakage risk coefficient is compared with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue.

[0010] Optionally, the steps for calculating the anti-attack capability coefficient according to the key length are:

[0011] Get the key length of the encryption algorithm used , calculate the complexity of brute force cracking, the calculation formula is: , where is the complexity of brute force cracking. The cracking time complexity is calculated based on the complexity of brute force cracking. The calculation formula is: , where To solve the time complexity, The number of executable operations per second for brute force attacks performed by the attacker; based on the complexity of the brute force attacks and cracking time complexity Calculate the anti-attack capability coefficient using the following formula: , where is the anti-attack capability coefficient, and They are and The preset scaling factor of and Both are greater than 0.

[0012] Optionally, the step of calculating the switching network environment fluctuation coefficient according to the network signal value is:

[0013] Obtain the actual network signal between the exchange parties at each moment during the exchange process of the encrypted electronic information, and mark the actual network signal as , Indicates that during the exchange process of encrypted electronic information, the two exchange parties The actual sequence number of the network signal, =1, 2, 3, 4, ..., , is the total number of sequence numbers of actual network signals, and is a positive integer;

[0014] The calculated standard deviation is used as the exchange network environment fluctuation coefficient. The calculation formula is: , where is the actual average value of the network signal, and the expression obtained is: .

[0015] Optionally, the step of calculating the data exchange stagnation coefficient according to the data exchange quantity is:

[0016] Obtain the number of data exchanges at each moment during the exchange process of the encrypted electronic information, and mark the number of data exchanges at each moment as , The sequence number indicating the number of data exchanges at each moment, =1, 2, 3, 4, ..., , The total number of sequence numbers for data exchange quantity, is a positive integer;

[0017] Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the data exchange quantity If the number of data exchanges is less than the preset minimum number, the corresponding number of data exchanges will be recorded as abnormal data exchange number;

[0018] Re-mark each abnormal data exchange quantity as , A sequence number indicating the number of abnormal data exchanges. =0, 1, 2, 3, 4, ..., , The total number of sequence numbers for abnormal data exchange quantities;

[0019] Calculate the data exchange stagnation coefficient. The calculation formula is: , where is the data volume exchange stagnation coefficient, The preset minimum amount of data exchange.

[0020] Optionally, the steps of calculating the encryption leakage risk coefficient based on the anti-attack capability coefficient, the network environment fluctuation coefficient, and the data exchange stagnation coefficient are as follows:

[0021] ;

[0022] Where, is the encryption leakage risk factor, 、 and They are the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, 、 They are 、 and The preset ratio value of 、 Both are greater than 0.

[0023] Optionally, the steps for determining whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue are:

[0024] Comparing the encryption leakage risk factor with a preset encryption leakage risk factor threshold; if the encryption leakage risk factor is less than the preset encryption leakage risk factor threshold, then there is no risk of encryption leakage during the electronic information exchange process, and the electronic information exchange process continues;

[0025] If the encryption leakage risk coefficient is not less than the preset encryption leakage risk coefficient threshold, there is a risk of encryption leakage in the electronic information exchange process, the electronic information exchange process is immediately stopped, and an alarm signal is issued.

[0026] In a second aspect of the present invention, an intelligent electronic information exchange and processing system is provided, comprising:

[0027] Anti-attack capability module: For encrypted electronic information, the key length of the encryption algorithm used is obtained, and the anti-attack capability coefficient is calculated based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information;

[0028] Network environment fluctuation module: obtains the network signal value of the encrypted electronic information during the exchange process, and calculates the exchange network environment fluctuation coefficient based on the network signal value, which is used to evaluate the instability of the network signal during the exchange process of the encrypted electronic information;

[0029] Exchange stagnation module: obtains the data exchange quantity of encrypted electronic information at different moments in the exchange process, and calculates the data exchange stagnation coefficient based on the data exchange quantity, which is used to evaluate the degree of data stagnation of encrypted electronic information in the exchange process;

[0030] Exchange processing module: Calculates the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, and compares the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue.

[0031] Beneficial effects of the present invention:

[0032] The present invention proposes an intelligent electronic information exchange processing method and system, which can determine whether there is a leakage risk when encrypted information is exchanged; it can timely detect and prevent whether the encrypted data may be subject to leakage risks during the information exchange process, ensure that the encrypted data will not be cracked or leaked during the exchange process, and reduce the possibility of security accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below with reference to the accompanying drawings.

[0034] Figure 1 A flowchart of an intelligent electronic information exchange processing method;

[0035] Figure 2 This is a framework diagram of an intelligent electronic information exchange and processing system. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0037] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0038] The embodiment of the present invention provides an intelligent electronic information exchange processing method. Figure 1 , Figure 1 This is a flow chart of an intelligent electronic information exchange processing method provided by an embodiment of the present invention. The method includes the following steps:

[0039] For encrypted electronic information, obtain the key length of the encryption algorithm used and calculate the anti-attack capability coefficient based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information;

[0040] Obtaining the network signal value of the encrypted electronic information during the exchange process, and calculating the exchange network environment fluctuation coefficient based on the network signal value, to assess the degree of network signal instability during the exchange process of the encrypted electronic information;

[0041] Obtaining the number of data exchanges at different times during the exchange process of the encrypted electronic information, and calculating a data exchange stagnation coefficient based on the number of data exchanges, to assess the degree of data stagnation during the exchange process of the encrypted electronic information;

[0042] The encryption leakage risk coefficient is calculated based on the anti-attack capability coefficient, the network environment fluctuation coefficient and the data volume exchange stagnation coefficient, and the encryption leakage risk coefficient is compared with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue.

[0043] Based on an intelligent electronic information exchange processing method provided by an embodiment of the present invention, through the above-mentioned method, when encrypted information is exchanged, it can be determined whether there is a risk of leakage; it can timely detect and prevent whether the encrypted data may be subject to leakage risks during the information exchange process, ensuring that the encrypted data will not be cracked or leaked during the exchange process, thereby reducing the possibility of security accidents.

[0044] In one embodiment, for the encrypted electronic information, the key length of the encryption algorithm used is obtained, and an attack resistance coefficient is calculated based on the key length to evaluate the attack resistance of the encryption algorithm used to encrypt the electronic information;

[0045] The steps for calculating the anti-attack capability coefficient based on the key length are as follows:

[0046] Get the key length of the encryption algorithm used , calculate the complexity of brute force cracking, the calculation formula is: , where is the complexity of brute force cracking. The cracking time complexity is calculated based on the complexity of brute force cracking. The calculation formula is: , where To solve the time complexity, The number of executable operations per second for brute force attacks performed by the attacker; based on the complexity of the brute force attacks and cracking time complexity Calculate the anti-attack capability coefficient using the following formula: , where is the anti-attack capability coefficient, and They are and The preset scaling factor of and Both are greater than 0.

[0047] It should be noted that and It is set by professionals according to the actual situation. Generally, and The sum of is 1, for example and They can be 0.5, 0.5, or other numbers, without limitation;

[0048] It's important to note that the data used to calculate the attack resistance coefficient includes extracting key length information from the encryption protocol or algorithm configuration, which is an inherent property of the encryption algorithm. Brute force cracking complexity is obtained from the encryption algorithm's standard documentation or known models, and is typically exponentially related to key length. Cracking time complexity requires an estimate based on the attacker's hardware performance. This can be determined through benchmark testing or by assuming the attacker's execution capabilities, and is typically calculated based on hardware performance, such as the number of encryption operations per second. By acquiring and calculating this data, a comprehensive assessment of an encryption algorithm's attack resistance can be made.

[0049] It's important to note that a higher anti-attack coefficient indicates a lower risk of leakage of encrypted electronic information during exchange. This is because a higher anti-attack coefficient indicates a longer encryption algorithm key length, which increases the complexity and time required to crack the key. This significantly increases the difficulty for attackers to successfully decrypt the encrypted information. Therefore, during the exchange process, encrypted data becomes more difficult to crack or tamper with, thereby ensuring information security. Furthermore, an increased anti-attack coefficient reflects the encryption algorithm's enhanced ability to resist various attacks (such as brute force and side-channel attacks), making encrypted information more robust during transmission and reducing the likelihood of interception or leakage. Conversely, a lower anti-attack coefficient indicates a weaker encryption algorithm, making it easier to crack and potentially making the encrypted data more vulnerable to attack and leakage. Therefore, a higher anti-attack coefficient indicates a lower risk of data leakage during exchange.

[0050] In one implementation, analyzing the attack resistance coefficient can help determine whether encrypted electronic information presents a risk of leakage during exchange and processing. It accurately assesses the security of the encryption algorithm. By evaluating key length, brute force cracking complexity, and cracking time, it helps the system promptly identify potential security vulnerabilities. A low attack resistance coefficient indicates that the encryption algorithm may not be robust enough, and attackers are more likely to break through the encryption, thereby posing a risk of information leakage. This assessment method is highly forward-looking, enabling early prediction of encryption algorithm deficiencies and providing a basis for improving encryption strategies. Furthermore, by continuously monitoring and calculating the attack resistance coefficient, the system can dynamically adjust encryption strategies, improving encryption strength to counter increasingly sophisticated attack vectors and ensuring that information is not cracked or tampered with during transmission. In summary, the attack resistance coefficient not only helps promptly identify leakage risks but also provides continuous decision-making support for improving encryption security, thereby ensuring the secure transmission of electronic information.

[0051] In one embodiment, a network signal value of the encrypted electronic information during the exchange process is obtained, and a fluctuation coefficient of the exchange network environment is calculated based on the network signal value to assess the instability of the network signal during the exchange process of the encrypted electronic information;

[0052] The steps for calculating the exchange network environment fluctuation coefficient according to the network signal value are as follows:

[0053] Obtain the actual network signal between the exchange parties at each moment during the exchange process of the encrypted electronic information, and mark the actual network signal as , Indicates that during the exchange process of encrypted electronic information, the two exchange parties The actual sequence number of the network signal, =1, 2, 3, 4, ..., , is the total number of sequence numbers of actual network signals, and is a positive integer;

[0054] The calculated standard deviation is used as the exchange network environment fluctuation coefficient. The calculation formula is: , where is the actual average value of the network signal, and the expression obtained is: .

[0055] It should be noted that the data involved in calculating the exchange network environment fluctuation coefficient is obtained as follows: First, the actual network signal values ​​between the exchange parties are collected in real time at each moment using network monitoring equipment, protocol analysis tools, or the communication protocol stack. These signal values ​​generally reflect the quality of the network connection, such as signal strength, latency, and packet loss rate. They can be obtained using network hardware (such as routers, switches, and wireless access points) or application-layer performance monitoring tools (such as Ping and Traceroute). Each moment's network signal value is recorded as a data point and stored in chronological order. These real-time recorded signal values ​​are then processed to calculate their mean and standard deviation to derive the network environment fluctuation coefficient. This process relies on continuous data collection, reflecting changes in network signals over time and providing a real-time assessment of network stability.

[0056] It's important to note that a lower network fluctuation coefficient indicates a lower risk of leakage during the exchange of encrypted electronic information. This is because a lower network fluctuation coefficient indicates greater network signal stability, resulting in smoother and more reliable data transmission during the network exchange process. This means data transmission is less likely to encounter packet loss, latency, or signal interference, reducing the potential for errors or interruptions during data transmission, thereby lowering the risk of information leakage. A stable network environment ensures the continuity and integrity of encrypted information, making it less susceptible to external attacks or man-in-the-middle interference. It also reduces the risk of replay attacks and data tampering by malicious attackers exploiting network fluctuations. Furthermore, lower network fluctuations typically mean faster encrypted data transmission speeds and a more stable data transmission path during the exchange process, further enhancing the confidentiality and integrity of encrypted information. Therefore, a lower network fluctuation coefficient indicates a lower potential risk of information leakage.

[0057] In one implementation, analyzing the network environment fluctuation coefficient can help determine whether encrypted electronic information presents a risk of leakage during exchange. It provides real-time insights into network connection stability, helping the system accurately identify issues that could impact data transmission quality. For example, a high fluctuation coefficient indicates an unstable network signal, potentially leading to packet loss, delays, or interference during encrypted information transmission, all of which increase the risk of data leakage. Furthermore, the calculation of the network environment fluctuation coefficient can be combined with the encryption algorithm's attack resistance coefficient to provide a more comprehensive security assessment, ensuring not only the inherent strength of the encryption itself but also potential vulnerabilities in the network transmission process. Furthermore, the fluctuation coefficient can serve as an important basis for optimizing network architecture and adjusting data transmission strategies, ensuring that appropriate measures, such as adjusting encryption strength and adding retransmission mechanisms, are implemented in unstable network environments to reduce the risk of information leakage. Therefore, the use of the network environment fluctuation coefficient helps build a dynamic and comprehensive security protection system, effectively enhancing the security of encrypted electronic information during exchange.

[0058] In one embodiment, the amount of data exchanged at different times during the exchange process of the encrypted electronic information is obtained, and a data exchange stagnation coefficient is calculated based on the amount of data exchanged, to evaluate the degree of data stagnation during the exchange process of the encrypted electronic information;

[0059] The steps for calculating the data exchange stagnation coefficient according to the data exchange quantity are as follows:

[0060] Obtain the number of data exchanges at each moment during the exchange process of the encrypted electronic information, and mark the number of data exchanges at each moment as , A sequence number indicating the number of data exchanges at each moment. =1, 2, 3, 4, ..., , The total number of sequence numbers for data exchange quantity, is a positive integer;

[0061] Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the data exchange quantity If the number of data exchanges is less than the preset minimum number, the corresponding number of data exchanges will be recorded as abnormal data exchange number;

[0062] Re-mark each abnormal data exchange quantity as , A sequence number indicating the number of abnormal data exchanges. =0, 1, 2, 3, 4, ..., , The total number of sequence numbers for abnormal data exchange quantities;

[0063] Calculate the data exchange stagnation coefficient. The calculation formula is: , where is the data volume exchange stagnation coefficient, The preset minimum amount of data exchange.

[0064] It should be noted that the data acquisition process for calculating the data exchange stagnation coefficient involves the following: First, the number of data exchanges at each moment is collected in real time through a network monitoring system or communication protocol stack. These data exchange counts are typically monitored by network switching devices (such as routers, switches, or gateways), which record the data volume at each moment, reflecting the data size or transmission rate of each exchange. This data can be obtained using network traffic analysis tools (such as Wireshark or SNMP monitoring) or through application-layer logging. At each moment, these exchanges are marked and stored as a data point, forming a time-series dataset. Next, by comparing these exchange counts with a preset minimum data exchange count (typically a threshold set based on network load and expected transmission requirements), abnormal exchange moments below this threshold are identified. Finally, the data exchange stagnation coefficient is calculated based on the number of abnormal data exchanges and the total number of exchanges, thereby assessing data transmission stability and potential transmission delay issues.

[0065] It's important to note that a lower data exchange stagnation coefficient indicates a lower risk of leakage during the exchange of encrypted electronic information. This is because the data exchange stagnation coefficient reflects the smoothness and timeliness of information exchange. A lower stagnation coefficient means smoother information flow and better network transmission speed and stability, reducing potential issues like latency, packet loss, and retransmissions. These issues often provide opportunities for attackers, who can exploit network latency or packet loss to tamper with or replay data. Smooth and timely data exchange helps mitigate these risks, as fewer stagnation points mean data is transmitted from source to destination in near real time, reducing the likelihood of external interference or interception during transmission. In summary, a lower data exchange stagnation coefficient indicates greater network stability, reducing the risk of data leakage.

[0066] In one implementation, analyzing the data exchange stagnation coefficient can be beneficial in determining the risk of leakage during the exchange of encrypted electronic information. It can reveal transmission delays or interruptions during data exchange, often caused by network instability or malicious interference. Significant stagnation during the exchange process may indicate packet loss, retransmission, or tampering, increasing the risk of information interception or leakage. Secondly, by quantifying data exchange stagnation, the system can monitor and identify potential network issues or attacks, such as DoS attacks or man-in-the-middle attacks, in real time, allowing timely preventative measures. Finally, calculating the data exchange stagnation coefficient can help optimize network configuration, ensuring appropriate redundancy or encryption measures are implemented in unstable network environments to reduce potential leakage risks. Therefore, as a real-time monitoring indicator, the stagnation coefficient not only provides a quantitative basis for assessing risks during data exchange but also effectively improves the system's security capabilities.

[0067] In one embodiment, an encryption leakage risk coefficient is calculated based on the anti-attack capability coefficient, the network environment fluctuation coefficient, and the data exchange stagnation coefficient, and the encryption leakage risk coefficient is compared with a preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue;

[0068] The steps for calculating the encryption leakage risk coefficient based on the anti-attack capability coefficient, the network environment fluctuation coefficient, and the data exchange stagnation coefficient are as follows:

[0069] ;

[0070] Where, is the encryption leakage risk factor, 、 and They are the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, 、 They are 、 and The preset ratio value of 、 All greater than 0;

[0071] It should be noted that 、 It is set by professionals according to the actual situation. Generally, 、 The sum of is 1, for example 、 They can be 0.3, 0.3, 0.4, or other numbers, respectively, and there is no specific limitation. In addition, before calculating the encryption leakage risk coefficient, the anti-attack capability coefficient, the network environment fluctuation coefficient, and the data exchange stagnation coefficient need to be normalized and mapped to the value range of 0-1.

[0072] In one embodiment, the encryption leakage risk factor is compared with a preset encryption leakage risk factor threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue. The steps are:

[0073] Comparing the encryption leakage risk factor with a preset encryption leakage risk factor threshold; if the encryption leakage risk factor is less than the preset encryption leakage risk factor threshold, then there is no risk of encryption leakage during the electronic information exchange process, and the electronic information exchange process continues;

[0074] If the encryption leakage risk coefficient is not less than the preset encryption leakage risk coefficient threshold, there is a risk of encryption leakage in the electronic information exchange process, the electronic information exchange process is immediately stopped, and an alarm signal is issued.

[0075] It should be noted that the preset encryption leakage risk coefficient threshold is set by professionals based on actual circumstances and is not limited or elaborated on in detail.

[0076] It should be noted that comparing the encryption leakage risk factor with the preset encryption leakage risk factor threshold is a key step in determining whether encryption security is maintained during electronic information exchange. If the encryption leakage risk factor is less than the preset threshold, it means that factors such as the encryption algorithm, network signal stability, and data exchange fluency have not exhibited significant anomalies, indicating that the encrypted information is unlikely to be easily leaked or cracked during transmission. Therefore, the electronic information exchange process can proceed with confidence. However, if the encryption leakage risk factor is greater than or equal to the preset threshold, it indicates that potential security risks may have been exposed at certain stages of the encryption process, such as insufficient encryption algorithm resistance, unstable network signal, or data exchange stagnation. These factors may pose a risk of leakage or tampering during the exchange process. In this case, the system will automatically stop the electronic information exchange process and promptly issue an alarm signal, prompting relevant personnel to take further security measures to prevent data leakage. This mechanism can effectively prevent potential security threats and ensure the confidentiality and integrity of electronic information during transmission.

[0077] Based on the same inventive concept, the present invention also provides an intelligent electronic information exchange and processing system. Figure 2 , Figure 2 A framework diagram of an intelligent electronic information exchange and processing system provided in an embodiment of the present invention, the system comprising:

[0078] Anti-attack capability module: For encrypted electronic information, the key length of the encryption algorithm used is obtained, and the anti-attack capability coefficient is calculated based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information;

[0079] Network environment fluctuation module: obtains the network signal value of the encrypted electronic information during the exchange process, and calculates the exchange network environment fluctuation coefficient based on the network signal value, which is used to evaluate the instability of the network signal during the exchange process of the encrypted electronic information;

[0080] Exchange stagnation module: obtains the data exchange quantity of encrypted electronic information at different moments in the exchange process, and calculates the data exchange stagnation coefficient based on the data exchange quantity, which is used to evaluate the degree of data stagnation of encrypted electronic information in the exchange process;

[0081] Exchange processing module: Calculates the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, and compares the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue.

[0082] An intelligent electronic information exchange and processing system provided by an embodiment of the present invention can, through the above-mentioned method, determine whether there is a risk of leakage when encrypted information is exchanged; and can promptly detect and prevent the risk of leakage of encrypted data during the information exchange process, ensuring that the encrypted data will not be cracked or leaked during the exchange process, thereby reducing the possibility of security accidents.

[0083] The above is a detailed description of an embodiment of the present invention. However, the content is only a preferred embodiment of the present invention and should not be used to artificially limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent electronic information exchange processing method, characterized in that: The following steps are involved: For encrypted electronic information, obtain the key length of the encryption algorithm used and calculate the anti-attack capability coefficient based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information; Obtaining the network signal value of the encrypted electronic information during the exchange process, and calculating the exchange network environment fluctuation coefficient based on the network signal value, to assess the degree of network signal instability during the exchange process of the encrypted electronic information; Obtaining the number of data exchanges at different times during the exchange process of the encrypted electronic information, and calculating a data exchange stagnation coefficient based on the number of data exchanges, to assess the degree of data stagnation during the exchange process of the encrypted electronic information; Calculate the encryption leakage risk factor based on the anti-attack capability coefficient, network environment fluctuation coefficient, and data exchange stagnation coefficient, and compare the encryption leakage risk factor with the preset encryption leakage risk factor threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue; The steps to calculate the anti-attack capability coefficient based on the key length are: Get the key length of the encryption algorithm used , calculate the complexity of brute force cracking, the calculation formula is: , where is the complexity of brute force cracking. The cracking time complexity is calculated based on the complexity of brute force cracking. The calculation formula is: , where To solve the time complexity, The number of executable operations per second for brute force attacks performed by the attacker; based on the complexity of the brute force attacks and cracking time complexity Calculate the anti-attack capability coefficient using the following formula: , where is the anti-attack capability coefficient, and They are and The preset scaling factor of and All greater than 0; The steps for calculating the exchange network environment fluctuation coefficient based on the network signal value are as follows: Obtain the actual network signal between the exchange parties at each moment during the exchange process of the encrypted electronic information, and mark the actual network signal as , Indicates that during the exchange process of encrypted electronic information, the two exchange parties are The actual sequence number of the network signal, =1, 2, 3, 4, ..., , is the total number of sequence numbers of actual network signals, and is a positive integer; The calculated standard deviation is used as the exchange network environment fluctuation coefficient. The calculation formula is: , where is the actual average value of the network signal, and the expression obtained is: ; The steps for calculating the data exchange stagnation coefficient based on the amount of data exchange are: Obtain the number of data exchanges at each moment during the exchange process of the encrypted electronic information, and mark the number of data exchanges at each moment as , The sequence number indicating the number of data exchanges at each moment, =1, 2, 3, 4, ..., , The total number of sequence numbers for data exchange quantity, is a positive integer; Compare the data exchange quantity at each moment with the preset minimum data exchange quantity. If the data exchange quantity If the number of data exchanges is less than the preset minimum number, the corresponding number of data exchanges will be recorded as abnormal data exchange number; Re-mark each abnormal data exchange quantity as , A sequence number indicating the number of abnormal data exchanges. =0, 1, 2, 3, 4, ..., , The total number of sequence numbers for abnormal data exchange quantities; Calculate the data exchange stagnation coefficient. The calculation formula is: , where is the data volume exchange stagnation coefficient, To preset the minimum amount of data exchange; The steps for calculating the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient, and data exchange stagnation coefficient are as follows: Where, is the encryption leakage risk factor, 、 and They are the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, 、 They are 、 and The preset ratio value of 、 Both are greater than 0.

2. The intelligent electronic information exchange processing method according to claim 1, characterized in that: The steps to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether to continue the exchange process are as follows: Comparing the encryption leakage risk factor with a preset encryption leakage risk factor threshold; if the encryption leakage risk factor is less than the preset encryption leakage risk factor threshold, then there is no risk of encryption leakage during the electronic information exchange process, and the electronic information exchange process continues; If the encryption leakage risk coefficient is not less than the preset encryption leakage risk coefficient threshold, there is a risk of encryption leakage in the electronic information exchange process, the electronic information exchange process is immediately stopped, and an alarm signal is issued.

3. An intelligent electronic information exchange processing system, used to implement the intelligent electronic information exchange processing method according to any one of claims 1 to 2, characterized in that: The system comprises: Anti-attack capability module: For encrypted electronic information, obtain the key length of the encryption algorithm used and calculate the anti-attack capability coefficient based on the key length to evaluate the anti-attack capability of the encryption algorithm used to encrypt the electronic information; Network environment fluctuation module: obtains the network signal value of the encrypted electronic information during the exchange process, and calculates the exchange network environment fluctuation coefficient based on the network signal value, which is used to evaluate the instability of the network signal during the exchange process of the encrypted electronic information; Exchange stagnation module: obtains the data exchange quantity of encrypted electronic information at different moments in the exchange process, and calculates the data exchange stagnation coefficient based on the data exchange quantity, which is used to evaluate the degree of data stagnation of encrypted electronic information in the exchange process; Exchange processing module: Calculates the encryption leakage risk coefficient based on the anti-attack capability coefficient, network environment fluctuation coefficient and data exchange stagnation coefficient, and compares the encryption leakage risk coefficient with the preset encryption leakage risk coefficient threshold to determine whether there is a risk of encryption leakage during the electronic information exchange process and whether the exchange process needs to continue.

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