Real-time dynamic supervision system of account funds based on SMS data

Abstract

The present invention discloses a real-time dynamic supervision system for account funds based on SMS data, and the system relates to the technical field of dynamic supervision of account funds. The system includes collecting real-time dynamic supervision data for account funds; analyzing real-time dynamic supervision data for account funds; and comprehensively analyzing and optimizing the real-time dynamic supervision of account funds. The present invention collects real-time dynamic supervision data for account funds, analyzes the real-time dynamic supervision data for account funds, obtains a real-time dynamic supervision network status monitoring and evaluation index for account funds and a real-time dynamic supervision accuracy evaluation index for account funds, comprehensively analyzes and optimizes the real-time dynamic supervision of account funds, thereby improving the real-time security of the real-time dynamic supervision system for account funds based on SMS data, and solving the problem of insufficient real-time security of the real-time dynamic supervision system for account funds based on SMS data in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic supervision of account funds, and in particular to a real-time dynamic supervision system of account funds based on SMS data. Background Art

[0002] With the development of technologies such as big data, artificial intelligence, and cloud computing, financial technology has developed rapidly. Financial technology has promoted disruptive innovation in finance through technical means, and has achieved a leap from the primary stage of financial technology represented by Internet finance to the advanced stage of financial technology represented by big data, cloud computing, blockchain, and artificial intelligence. Traditional financial supervision methods seem to be unable to cope with the rapid development of financial technology. In order to cope with technical risks, information risks, and compliance risks, financial regulatory agencies have begun to explore the use of artificial intelligence and big data technologies for intelligent risk prevention and control to achieve the transformation and reshaping of financial supervision. Commercial banks and financial institutions are in urgent need of intelligent risk prevention and control platforms to enhance their risk prevention and control capabilities in the face of complex and severe risk prevention and control situations. With the globalization and digitalization of financial markets, the speed and complexity of capital flows are increasing, and traditional manual supervision methods can no longer meet the needs of modern financial supervision. Therefore, a funds supervision system based on SMS came into being. It uses SMS as a medium for information transmission to achieve rapid response and real-time monitoring of capital flows.

[0003] The existing real-time dynamic supervision system of account funds based on SMS data receives SMS through the SMS receiving terminal through the SMS-based funds monitoring method, and reorganizes the extra-long SMS that are split during the communication process; through the Springboot+Vue account funds supervision platform, it integrates core functions such as user management, account opening application review, account information query, collection and transfer monitoring, loss reporting and account cancellation management, to achieve full life cycle supervision of account funds flow.

[0004] For example, the patent application with publication number CN116823504A discloses a financial system for real-time dynamic detection of account funds, including: a first financial robot: used to automatically and cyclically obtain bank-enterprise direct connection accounts, and send query commands to the bank through the bank-enterprise direct connection interface, and extract query results for storage; a second financial robot: used to automatically and cyclically obtain online banking accounts, and log in to online banking to obtain and store real-time data of online banking accounts; a third financial robot: used to log in to the financial management platform, obtain and store account change information of accounts without online banking and SMS functions. The fourth financial robot is used to automatically or passively obtain and store account information of SMS query accounts. The robot of the present invention can assist in the full process management of the entire life cycle of the account, and can obtain account data information in real time.

[0005] For example, the patent application with publication number: CN115170092A discloses an account funds supervision method and related equipment, including: it can be used in the financial field or other fields, by obtaining the construction progress image of the commercial building in real time, and correctly reviewing the actual construction progress of the commercial building, so as to gradually and dynamically adjust the amount of funds in the supervision account, effectively protect the funds in the supervision account, safeguard the rights and interests of home buyers, and ensure that the developer operates the supervision account funds in compliance with regulations.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] This method is applied to personal account funds monitoring, but there is a problem of insufficient real-time security. The speed of SMS sending is slow or the network condition is poor, resulting in delayed sending of warning SMS. The SMS warning involves the user's personal information and account funds information. During the SMS warning process, the user's personal information and account funds information will be leaked, and there is a problem of insufficient real-time security of the real-time dynamic supervision system of account funds based on SMS data. Summary of the invention

[0008] The embodiments of the present application solve the problem of insufficient real-time security of the real-time dynamic supervision system for account funds based on SMS data in the prior art by providing a real-time dynamic supervision system for account funds based on SMS data, thereby improving the real-time security of the real-time dynamic supervision system for account funds based on SMS data.

[0009] The embodiment of the present application provides a real-time dynamic supervision system for account funds based on SMS data, including: a module for collecting real-time dynamic supervision data for account funds, a module for analyzing real-time dynamic supervision data for account funds, a comprehensive analysis module and a module for optimizing and adjusting real-time dynamic supervision data for account funds: wherein the module for collecting real-time dynamic supervision data for account funds is used to collect and process real-time dynamic supervision data for account funds; the module for analyzing real-time dynamic supervision data for account funds is used to analyze the real-time dynamic supervision data for account funds, obtain a real-time dynamic supervision network status monitoring and evaluation index for account funds and obtain a real-time dynamic supervision accuracy evaluation index for account funds; the comprehensive analysis module is used to comprehensively analyze and obtain a real-time dynamic supervision security evaluation index for account funds; the module for optimizing and adjusting real-time dynamic supervision of account funds is used to compare and analyze the real-time dynamic supervision network status monitoring and evaluation index for account funds with a first threshold value of the real-time dynamic supervision network status monitoring and evaluation index for account funds, and optimize and adjust the real-time dynamic supervision network status monitoring method for account funds; compare and analyze the real-time dynamic supervision accuracy evaluation index for account funds with a second threshold value of the real-time dynamic supervision accuracy evaluation index for account funds, and optimize and adjust the real-time dynamic supervision accuracy method for account funds; compare and analyze the real-time dynamic supervision security evaluation index for account funds with a comprehensive threshold value of the real-time dynamic supervision security evaluation index for account funds, and optimize and adjust the real-time dynamic supervision method for account funds.

[0010] Furthermore, the specific steps of collecting and processing the real-time dynamic supervision data of account funds are: collecting the real-time dynamic supervision original data of account funds through equipment; cleaning and denoising the real-time dynamic supervision original data of account funds to obtain the real-time dynamic supervision original data of account funds, and the real-time dynamic supervision original data of account funds includes real-time dynamic supervision network status monitoring data of account funds and real-time dynamic supervision accuracy data of account funds.

[0011] Furthermore, the specific steps for obtaining the network status monitoring and evaluation index of real-time dynamic supervision of account funds are as follows: obtaining the key entropy at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through an entropy analysis tool; obtaining the key length at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through the configuration file of the encryption system; obtaining the network delay at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a network delay test tool; obtaining the network bandwidth at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a bandwidth test tool; obtaining the network throughput under the preset network status monitoring and detection segment of real-time dynamic supervision of account funds through a network monitoring tool; obtaining the network packet loss rate at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a Wireshark network monitoring tool; the network status monitoring data of real-time dynamic supervision of account funds includes key entropy, key length, network delay, network bandwidth, network throughput and network packet loss rate; and obtaining the network status monitoring and evaluation index of real-time dynamic supervision of account funds according to the analysis of the network status monitoring data of real-time dynamic supervision of account funds.

[0012] Furthermore, the specific process of obtaining the accuracy assessment index of real-time dynamic supervision of account funds is as follows: obtaining the key entropy of the preset account funds real-time dynamic supervision accuracy detection point through the entropy analysis tool; obtaining the key length of the preset account funds real-time dynamic supervision accuracy detection point through the configuration file of the encryption system; obtaining the network jitter of the preset account funds real-time dynamic supervision accuracy detection point through the network performance monitor; obtaining the key update frequency of the preset account funds real-time dynamic supervision accuracy detection point through the key management software; obtaining the network throughput of the preset account funds real-time dynamic supervision accuracy detection segment through the network monitoring tool; the account funds real-time dynamic supervision accuracy data includes key entropy, key length, network jitter, key update frequency and network throughput; and obtaining the account funds real-time dynamic supervision accuracy assessment index based on the analysis of the account funds real-time dynamic supervision accuracy data.

[0013] Furthermore, the specific steps of obtaining the security assessment index of real-time dynamic supervision of account funds through comprehensive analysis are: obtaining the encryption delay of a preset security detection point of real-time dynamic supervision of account funds through encryption delay testing equipment; obtaining the security assessment index of real-time dynamic supervision of account funds through comprehensive analysis of the accuracy assessment index of real-time dynamic supervision of account funds, the network status monitoring and assessment index of real-time dynamic supervision of account funds and encryption delay.

[0014] Furthermore, the specific steps of optimizing and adjusting the network status monitoring method for real-time dynamic supervision of account funds are as follows: if the network status monitoring evaluation index for real-time dynamic supervision of account funds is lower than or equal to the first threshold value of the network status monitoring evaluation index for real-time dynamic supervision of account funds, there is no need to optimize and adjust the network status monitoring method for real-time dynamic supervision of account funds; if the network status monitoring evaluation index for real-time dynamic supervision of account funds is greater than the first threshold value of the network status monitoring evaluation index for real-time dynamic supervision of account funds, then increase the bandwidth capacity, optimize the network topology to reduce the number of hops for data packet transmission, and use load balancing technology to distribute the SMS sending task to multiple servers.

[0015] Furthermore, the specific steps of optimizing and adjusting the method for accuracy of real-time dynamic supervision of account funds are as follows: if the accuracy assessment index of real-time dynamic supervision of account funds is greater than or equal to the second threshold value of the accuracy assessment index of real-time dynamic supervision of account funds, there is no need to optimize and adjust the method for accuracy of real-time dynamic supervision of account funds; if the accuracy assessment index of real-time dynamic supervision of account funds is lower than the second threshold value of the accuracy assessment index of real-time dynamic supervision of account funds, use the encryption technology AES Advanced Encryption Standard to protect account funds information, implement anomaly detection mechanism, timely discover and process abnormal data, and establish a secure communication channel through a secure communication protocol.

[0016] Furthermore, the specific steps of comparing and analyzing the real-time dynamic supervision security assessment index of account funds with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds are: extracting the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds in the real-time dynamic database of account funds, and comparing the real-time dynamic supervision security assessment index of account funds with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds.

[0017] Furthermore, the specific steps of the method for optimizing and adjusting the real-time dynamic supervision of account funds are as follows: if the security assessment index of the real-time dynamic supervision of account funds is greater than or equal to the comprehensive threshold of the security assessment index of the real-time dynamic supervision of account funds, there is no need to send early warning information via SMS; if the security assessment index of the real-time dynamic supervision of account funds is lower than the comprehensive threshold of the security assessment index of the real-time dynamic supervision of account funds, it is necessary to send early warning information via SMS.

[0018] Furthermore, the method for optimizing and adjusting real-time dynamic supervision of account funds also includes: if there is no need to send warning information via text messages, there is no need to optimize and adjust the method for real-time dynamic supervision of account funds; if there is a need to send warning information via text messages, edge computing is used to process data, blockchain technology is used to verify the text message warning information, and NLP technology is used to automatically parse and generate text message content.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By collecting and analyzing the real-time dynamic supervision data of account funds, obtaining the real-time dynamic supervision network status monitoring and evaluation index of account funds and the real-time dynamic supervision accuracy evaluation index of account funds, comprehensive analysis and optimization and adjustment of the real-time dynamic supervision of account funds are carried out, thereby improving the real-time security of the real-time dynamic supervision system of account funds based on SMS data and solving the problem of insufficient real-time security of the real-time dynamic supervision system of account funds based on SMS data in the prior art.

[0021] 2. By analyzing the real-time dynamic supervision data of account funds, the real-time dynamic supervision network status monitoring and evaluation index of account funds and the real-time dynamic supervision accuracy evaluation index of account funds are obtained. Therefore, by analyzing a large amount of data, the system can more accurately evaluate the network status and supervision accuracy, reduce false alarms and omissions, automatically collect, analyze and process data, reduce manual intervention, and improve work efficiency.

[0022] 3. Through comprehensive analysis and optimization and adjustment of real-time dynamic supervision of account funds, potential security threats can be discovered and dealt with in a timely manner, the security of account funds can be improved, and supervision strategies and processes can be optimized, thereby reducing the risk of account funds and minimizing losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the structure of a real-time dynamic supervision system for account funds based on SMS data provided in an embodiment of the present application;

[0024] Figure 2 A schematic diagram of an account funds real-time dynamic supervision security assessment index function provided in an embodiment of the present application;

[0025] Figure 3 A flowchart of SMS duplication verification processing for a real-time dynamic supervision system of account funds based on SMS data provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The embodiment of the present application solves the problem of insufficient real-time security of the real-time dynamic supervision system for account funds based on SMS data in the prior art by providing a real-time dynamic supervision system for account funds based on SMS data. By collecting and analyzing the real-time dynamic supervision data for account funds, an account real-time dynamic supervision network status monitoring and evaluation index and an account real-time dynamic supervision accuracy evaluation index are obtained, and the real-time dynamic supervision of account funds is comprehensively analyzed and optimized and adjusted, thereby improving the real-time security of the real-time dynamic supervision system for account funds based on SMS data.

[0027] The technical solution in the embodiment of the present application is to solve the problem of insufficient real-time security of the real-time dynamic supervision system for account funds with SMS data. The overall idea is as follows:

[0028] By collecting and analyzing the real-time dynamic supervision data of account funds, obtaining the real-time dynamic supervision network status monitoring and evaluation index of account funds and the real-time dynamic supervision accuracy evaluation index of account funds, comprehensive analysis and optimization and adjustment of the real-time dynamic supervision of account funds are carried out, thereby improving the real-time security of the real-time dynamic supervision system of account funds based on SMS data.

[0029] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0030] like Figure 1 As shown, it is a structural diagram of the real-time dynamic supervision system of account funds based on SMS data provided in the embodiment of the present application. The real-time dynamic supervision system of account funds based on SMS data provided in the embodiment of the present application includes: a module for collecting real-time dynamic supervision data of account funds, an analysis module for real-time dynamic supervision data of account funds, a comprehensive analysis module and a module for optimizing and adjusting real-time dynamic supervision of account funds: wherein, the module for collecting real-time dynamic supervision data of account funds is used to collect and process real-time dynamic supervision data of account funds; the real-time dynamic supervision data analysis module for account funds is used to analyze the real-time dynamic supervision data of account funds to obtain a monitoring and evaluation index of the network status of real-time dynamic supervision of account funds and an evaluation index of the accuracy of real-time dynamic supervision of account funds; the The comprehensive analysis module is used for comprehensive analysis to obtain the security assessment index of real-time dynamic supervision of account funds; the module for optimizing and adjusting real-time dynamic supervision of account funds is used for comparing and analyzing the network status monitoring and assessment index of real-time dynamic supervision of account funds with the first threshold of the network status monitoring and assessment index of real-time dynamic supervision of account funds, and optimizing and adjusting the network status monitoring method of real-time dynamic supervision of account funds; comparing and analyzing the accuracy assessment index of real-time dynamic supervision of account funds with the second threshold of the accuracy assessment index of real-time dynamic supervision of account funds, and optimizing and adjusting the accuracy method of real-time dynamic supervision of account funds; comparing and analyzing the security assessment index of real-time dynamic supervision of account funds with the comprehensive threshold of the security assessment index of real-time dynamic supervision of account funds, and optimizing and adjusting the real-time dynamic supervision method of account funds.

[0031] Furthermore, the specific steps of collecting and processing the real-time dynamic supervision data of account funds are: collecting the real-time dynamic supervision original data of account funds through equipment; cleaning and denoising the real-time dynamic supervision original data of account funds to obtain the real-time dynamic supervision original data of account funds, and the real-time dynamic supervision original data of account funds includes the real-time dynamic supervision network status monitoring data of account funds and the real-time dynamic supervision accuracy data of account funds.

[0032] In this embodiment, funds flow data is collected from text messages, including account funds real-time dynamic supervision network status monitoring data and account funds real-time dynamic supervision accuracy data, and database technology is used to store the collected funds data for subsequent query and analysis, and to update the account funds data in real time to ensure that the data in the account funds real-time dynamic supervision system based on SMS data is consistent with the actual funds flow situation.

[0033] Furthermore, the specific steps for obtaining the network status monitoring and evaluation index of real-time dynamic supervision of account funds are as follows: obtaining the key entropy at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through an entropy analysis tool; obtaining the key length at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through the configuration file of the encryption system; obtaining the network delay at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a network delay test tool; obtaining the network bandwidth at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a bandwidth test tool; obtaining the network throughput under the preset network status monitoring and detection segment of real-time dynamic supervision of account funds through a network monitoring tool; obtaining the network packet loss rate at the preset network status monitoring and detection point of real-time dynamic supervision of account funds through a Wireshark network monitoring tool; the network status monitoring data of real-time dynamic supervision of account funds includes key entropy, key length, network delay, network bandwidth, network throughput and network packet loss rate; and obtaining the network status monitoring and evaluation index of real-time dynamic supervision of account funds according to the analysis of the network status monitoring data of real-time dynamic supervision of account funds.

[0034] In this embodiment, the specific method of analyzing and obtaining the real-time dynamic supervision network status monitoring and evaluation index of account funds is as follows:

[0035] ;

[0036] ; ;

[0037] ;

[0038] ; ;

[0039] The preset account funds real-time dynamic supervision network status monitoring detection points are numbered in sequence. Indicates The number of the account funds real-time dynamic supervision network status monitoring detection point under the account funds real-time dynamic supervision network status monitoring detection section, , Indicates the total number of network status monitoring detection points for real-time dynamic supervision of account funds.

[0040] Divide the preset account funds real-time dynamic supervision network status monitoring time into account funds real-time dynamic supervision network status monitoring detection segments of the same length, Indicates the number of the network status monitoring and detection segment for real-time dynamic supervision of account funds. , Indicates the total number of network status monitoring detection segments for real-time dynamic supervision of account funds.

[0041] Indicates The account funds real-time dynamic supervision network status monitoring assessment index of each account funds real-time dynamic supervision network status monitoring detection point.

[0042] Indicates Real-time dynamic supervision of individual account funds and network status monitoring and detection of network delays at detection points.

[0043] It represents the network delay threshold, which is the preset network delay threshold obtained from the real-time dynamic database of account funds. It represents the upper limit of acceptable network delay and the tolerance for network delay. If the network delay at a certain network status monitoring detection point of real-time dynamic supervision of account funds exceeds the network delay threshold, it will lead to untimely data transmission, thus affecting the accuracy and timeliness of the network status monitoring of real-time dynamic supervision of account funds.

[0044] Indicates Real-time dynamic supervision of funds in each account and the key entropy impact coefficient at the network status monitoring detection point.

[0045] Indicates Real-time dynamic supervision of funds in individual accounts and the key length influence coefficient at the network status monitoring detection point.

[0046] Indicates Real-time dynamic supervision of funds in individual accounts and network congestion coefficient under network status monitoring detection segment.

[0047] Indicates Real-time dynamic supervision of individual account funds and network bandwidth under network status monitoring detection points.

[0048] It represents the network bandwidth threshold, which is the preset network bandwidth threshold obtained from the real-time dynamic database of account funds. It represents the lower limit of the acceptable bandwidth. For the network bandwidth requirement, if the network bandwidth at a certain account funds real-time dynamic supervision network status monitoring detection point is lower than the network bandwidth threshold, the data transmission speed will be slowed down due to insufficient network bandwidth, thus affecting the accuracy and timeliness of the real-time dynamic supervision network status monitoring of account funds.

[0049] Indicates Real-time dynamic supervision of funds in each account and key entropy at the network status monitoring detection point.

[0050] It represents the standard value of key entropy, which is the preset standard value of key entropy obtained from the real-time dynamic database of account funds. The higher the entropy, the stronger the randomness of the key and the higher the accuracy of real-time dynamic supervision of account funds. If the key entropy at a certain network status monitoring detection point for real-time dynamic supervision of account funds is greater than the standard value of key entropy, it will increase the complexity of key generation and computing resource consumption, affecting the accuracy of real-time dynamic supervision of account funds.

[0051] Indicates Real-time dynamic supervision of funds in individual accounts and key length at the network status monitoring detection point.

[0052] It represents the standard value of key length, which is the preset standard value of key length obtained from the real-time dynamic database of account funds. It means that the longer the key length, the higher the strength of the key and the greater the difficulty in cracking it. If the key length at a certain account funds real-time dynamic supervision network status monitoring detection point is greater than the standard value of key length, the computational burden of encryption and decryption will be increased, affecting the accuracy of real-time dynamic supervision network status monitoring of account funds.

[0053] Indicates Real-time dynamic supervision of individual account funds and network status monitoring and detection of network throughput under segment.

[0054] It represents the standard value of network throughput, which is the preset standard value of throughput obtained from the real-time dynamic database of account funds. It represents the amount of data processed under the network status monitoring and detection segment of real-time dynamic supervision of account funds. If the network throughput under a certain network status monitoring and detection segment of real-time dynamic supervision of account funds is lower than the standard value of network throughput, it will cause data transmission delays, affecting the accuracy and timeliness of real-time dynamic supervision and real-time monitoring of account funds.

[0055] Indicates Real-time dynamic supervision of individual account funds and network status monitoring and detection of network packet loss rate in the detection segment.

[0056] It is the preset network delay impact weight factor obtained from the real-time dynamic database of account funds.

[0057] It is the preset network bandwidth impact weight factor obtained from the real-time dynamic database of account funds.

[0058] It is the preset network congestion coefficient influencing weight factor obtained from the real-time dynamic database of account funds.

[0059] It is the preset key entropy influencing factor obtained from the real-time dynamic database of account funds.

[0060] It is the preset key length influencing factor obtained from the real-time dynamic database of account funds.

[0061] The preset network delay impact weight factor, the preset network bandwidth impact weight factor and the preset network congestion coefficient impact weight factor can be obtained through the real-time dynamic database of account funds, indicating the proportion of network delay, network bandwidth and network congestion coefficient in the network status monitoring and evaluation index that affects the real-time dynamic supervision of account funds. The preset network delay impact weight factor, the preset network bandwidth impact weight factor and the preset network congestion coefficient impact weight factor can also be obtained through mapping relationships. For example, through the relationship between the network delay, network bandwidth and network congestion coefficient in historical data and the network topology, a mapping set of network delay, network bandwidth and network congestion coefficient and their corresponding weights is established respectively. The corresponding preset network delay impact weight factor, preset network bandwidth impact weight factor and preset network congestion coefficient impact weight factor in the mapping set are obtained by inputting the real-time network delay, network bandwidth and network congestion coefficient.

[0062] The preset key entropy influencing factor and the preset key length influencing factor can be obtained through the real-time dynamic database of account funds, which represents the proportion of key entropy and key length in the real-time dynamic supervision network status monitoring and evaluation index of account funds. The preset key entropy influencing factor and the preset key length influencing factor can also be obtained through a mapping relationship. For example, a mapping set of key entropy and key length and their corresponding weights is established respectively through the relationship between key entropy and key length in historical data and key update frequency, and the corresponding preset key entropy influencing factor and preset key length in the mapping set are obtained by inputting the real-time key entropy and key length.

[0063] The higher the key entropy, the stronger the randomness of the key. The higher the key entropy, the longer the key length, which increases the difficulty of cracking. The network delay increases, resulting in increased uncertainty in data packet transmission time, thereby affecting the network throughput. The network maintains high throughput because data packets may be lost or need to be retransmitted. The lower the network throughput, the higher the network bandwidth, the higher the network throughput, and more data can be transmitted per unit time. The higher the network throughput, the network cannot effectively process data packets, resulting in network congestion, thereby increasing the packet loss rate. The network packet loss rate increases and the network delay increases, resulting in increased uncertainty in data packet transmission time, thereby increasing the packet loss rate because data packets may be discarded due to timeout.

[0064] The larger the key entropy and the square of the key entropy difference, the lower the accuracy of network status monitoring. There is a positive correlation between the key entropy and the square of the key entropy difference and the account funds real-time dynamic supervision network status monitoring and evaluation index. The larger the account funds real-time dynamic supervision network status monitoring and evaluation index is; the larger the square of the key length and the key length standard value difference is, the data will be intercepted or tampered with during the transmission process. There is a positive correlation between the key length and the key length standard value difference square and the account funds real-time dynamic supervision network status monitoring and evaluation index. The larger the account funds real-time dynamic supervision network status monitoring and evaluation index is; the increased network delay leads to unstable data transmission and increases the risk of data packet loss or delay. There is a positive correlation between network delay and the account funds real-time dynamic supervision network status monitoring and evaluation index. The account funds real-time dynamic supervision network status monitoring and evaluation index is The larger the measurement evaluation index; the higher the network bandwidth, the more data can be processed, which helps to improve the efficiency of data transmission. There is a negative correlation between the network bandwidth and the network status monitoring and evaluation index of real-time dynamic supervision of account funds, and the smaller the network status monitoring and evaluation index of real-time dynamic supervision of account funds is; the larger the absolute value of the difference between network throughput and the standard value of network throughput, the impact on network transmission data, the absolute value of the difference between network throughput and the standard value of network throughput is positively correlated with the network status monitoring and evaluation index of real-time dynamic supervision of account funds, and the larger the network status monitoring and evaluation index of real-time dynamic supervision of account funds is; the higher the packet loss rate, the network will lose data packets when transmitting data, the packet loss rate is positively correlated with the network status monitoring and evaluation index of real-time dynamic supervision of account funds, and the larger the network status monitoring and evaluation index of real-time dynamic supervision of account funds is.

[0065] Furthermore, the specific process of obtaining the accuracy evaluation index of real-time dynamic supervision of account funds is as follows: obtaining the key entropy of the preset account funds real-time dynamic supervision accuracy detection point through the entropy analysis tool; obtaining the key length of the preset account funds real-time dynamic supervision accuracy detection point through the configuration file of the encryption system; obtaining the network jitter of the preset account funds real-time dynamic supervision accuracy detection point through the network performance monitor; obtaining the key update frequency of the preset account funds real-time dynamic supervision accuracy detection point through the key management software; obtaining the network throughput of the preset account funds real-time dynamic supervision accuracy detection segment through the network monitoring tool; the account funds real-time dynamic supervision accuracy data includes key entropy, key length, network jitter, key update frequency and network throughput; and obtaining the account funds real-time dynamic supervision accuracy evaluation index based on the analysis of the account funds real-time dynamic supervision accuracy data.

[0066] In this embodiment, the specific method of obtaining the real-time dynamic supervision accuracy evaluation index of account funds through analysis is as follows:

[0067] ;

[0068] ; ;

[0069] ; ;

[0070] Number the preset account funds real-time dynamic supervision accuracy detection points in sequence. Indicates The number of the account funds real-time dynamic supervision accuracy detection point under the account funds real-time dynamic supervision accuracy detection section, , Indicates the total number of points for checking the accuracy of real-time dynamic supervision of account funds.

[0071] Divide the preset account funds real-time dynamic supervision accuracy time into account funds real-time dynamic supervision accuracy detection segments of the same length, Indicates the number of the real-time dynamic supervision accuracy detection segment of the account funds. , Indicates the total number of segments for detecting the accuracy of real-time dynamic supervision of account funds.

[0072] Indicates The real-time dynamic supervision accuracy assessment index of account funds at each account funds real-time dynamic supervision accuracy detection point.

[0073] Indicates The key entropy correction coefficient at the accuracy detection point of real-time dynamic supervision of funds in each account.

[0074] Indicates The key length correction factor at the accuracy detection point of real-time dynamic supervision of funds in each account.

[0075] It represents the network jitter threshold, which is the preset network jitter threshold obtained from the real-time dynamic database of account funds. It represents the acceptable upper limit of the fluctuation range of data packet transmission time in network communication. Network jitter refers to the instability of transmission time of data packets caused by network congestion during transmission. If the network jitter at a certain account funds real-time dynamic supervision accuracy detection point is higher than the network jitter threshold, it will affect the accuracy of real-time dynamic supervision of account funds.

[0076] Indicates Real-time dynamic supervision of account funds and network jitter under accuracy detection points.

[0077] Indicates The frequency of key updates under the accuracy detection point of real-time dynamic supervision of account funds.

[0078] It represents the key update frequency threshold, which is the preset key update frequency threshold obtained from the real-time dynamic database of account funds. If the key update frequency at a certain account funds real-time dynamic supervision accuracy detection point is lower than the key update frequency threshold, the accuracy of real-time dynamic supervision of account funds will be affected.

[0079] Indicates Real-time dynamic supervision of account funds and network throughput under accuracy detection segment.

[0080] It represents the standard value of network throughput, which is the preset standard value of throughput obtained from the real-time dynamic database of account funds. It represents the amount of data processed under the accuracy detection segment of real-time dynamic supervision of account funds. If the network throughput under a certain accuracy detection segment of real-time dynamic supervision of account funds is greater than the standard value of network throughput, it will cause data transmission delays, affecting the security of real-time dynamic supervision and real-time monitoring of account funds.

[0081] Indicates The key entropy of each account fund under real-time dynamic supervision accuracy detection point.

[0082] It represents the standard value of key entropy, which is the preset standard value of key entropy obtained from the real-time dynamic database of account funds. The higher the entropy, the stronger the randomness of the key and the higher the accuracy of real-time dynamic supervision of account funds. If the key entropy at a certain accuracy detection point of real-time dynamic supervision of account funds is close to the standard value of key entropy, the accuracy of real-time dynamic supervision of account funds is higher.

[0083] Indicates The key length at the accuracy detection point of real-time dynamic supervision of funds in each account.

[0084] It represents the standard value of key length, which is the preset standard value of key length obtained from the real-time dynamic database of account funds. It means that the longer the key length, the higher the strength of the key and the greater the difficulty in cracking it. If the key length at a certain accuracy detection point of real-time dynamic supervision of account funds is close to the standard value of key length, the accuracy of real-time dynamic supervision of account funds is higher.

[0085] It is the preset network jitter weight factor obtained from the real-time dynamic database of account funds.

[0086] The preset key update frequency weighting factor obtained from the real-time dynamic database of account funds.

[0087] It is the preset network throughput weight factor obtained from the real-time dynamic database of account funds.

[0088] It is the preset key entropy correction factor obtained from the real-time dynamic database of account funds.

[0089] It is the preset key length correction factor obtained from the real-time dynamic database of account funds.

[0090] The preset network jitter weight factor, preset key update frequency weight factor and preset network throughput weight factor can be obtained through the real-time dynamic database of account funds, which represents the proportion of network jitter, key update frequency and network throughput in the real-time dynamic supervision accuracy assessment index of account funds. The preset network jitter weight factor, preset key update frequency weight factor and preset network throughput weight factor can also be obtained through mapping relationships. For example, a mapping set of network jitter, key update frequency and network throughput and their corresponding weights is established through the relationship between network jitter, key update frequency and network throughput in historical data and encryption delay. The corresponding preset network jitter weight factor, preset key update frequency weight factor and preset network throughput weight factor in the mapping set are obtained by inputting real-time network jitter, key update frequency and network throughput.

[0091] The preset key entropy correction factor and the preset key length correction factor can be obtained through the real-time dynamic database of account funds, which represents the proportion of key entropy and key length in the real-time dynamic supervision accuracy assessment index of account funds. The preset key entropy correction factor and the preset key length correction factor can also be obtained through a mapping relationship. For example, a mapping set of key entropy and key length and their corresponding weights is established respectively through the relationship between key entropy and key length in historical data and memory usage, and the corresponding preset key entropy correction factor and preset key length correction factor in the mapping set are obtained by inputting the real-time key entropy and key length.

[0092] The higher the key entropy, the stronger the randomness of the key. The higher the key entropy, the longer the key length, which increases the difficulty of cracking. The increased network jitter leads to increased uncertainty in data packet transmission time, which affects the network throughput. The higher the network jitter, the network cannot maintain high throughput because data packets may be lost or need to be retransmitted. The lower the network throughput, the key entropy and key length determine the initial security of the key, and the key update frequency affects the security of the key during use. The higher the key entropy and the longer the key length, the higher the key update frequency. The greater the network jitter, the key update operation is affected, resulting in update failure or delay, and the key update frequency is lower.

[0093] The smaller the square of the difference between the key entropy and the standard value of the key entropy, the more helpful it is to protect the integrity of the data during transmission, thereby improving the accuracy of supervision. There is a negative correlation between the square of the difference between the key entropy and the standard value of the key entropy and the accuracy assessment index of real-time dynamic supervision of account funds. The larger the real-time dynamic supervision accuracy assessment index of account funds; the key length usually provides stronger encryption security. The smaller the square of the difference between the key length and the key length, the more helpful it is to prevent the data from being intercepted or tampered with during transmission. There is a negative correlation between the square of the difference between the key length and the standard value of the key entropy and the accuracy assessment index of real-time dynamic supervision of account funds. The larger the real-time dynamic supervision accuracy assessment index of account funds; the greater the network jitter, the more unstable the data transmission, increasing the risk of data packet loss or delay, and the network jitter is closely related to the real-time dynamic supervision accuracy assessment index of account funds. There is a negative correlation between the key update frequency and the real-time dynamic supervision accuracy assessment index of account funds, and the smaller the real-time dynamic supervision accuracy assessment index of account funds is; the greater the key update frequency, the reduced risk of key cracking, thereby protecting the security of data transmission and improving the accuracy of supervision. There is a positive correlation between the key update frequency and the square of the key entropy standard value difference and the account funds real-time dynamic supervision accuracy assessment index, and the larger the account funds real-time dynamic supervision accuracy assessment index is; the smaller the absolute value of the network throughput and the standard value difference of the network throughput, the more data the network can process, which helps to improve the efficiency of data transmission. There is a negative correlation between the absolute value of the network throughput and the standard value difference of the network throughput and the real-time dynamic supervision accuracy assessment index of account funds, and the larger the account funds real-time dynamic supervision accuracy assessment index is.

[0094] Furthermore, the specific steps of comprehensive analysis to obtain the security assessment index of real-time dynamic supervision of account funds are: obtaining the encryption delay of the preset security detection point of real-time dynamic supervision of account funds through encryption delay testing equipment; obtaining the security assessment index of real-time dynamic supervision of account funds through comprehensive analysis of the accuracy assessment index of real-time dynamic supervision of account funds, the network status monitoring and assessment index of real-time dynamic supervision of account funds and encryption delay.

[0095] In this embodiment, the specific method for analyzing and obtaining the real-time dynamic supervision security assessment index of account funds is as follows:

[0096] ;

[0097] ;

[0098] The preset account funds real-time dynamic supervision security detection points are numbered in sequence. Indicates the number of the security detection point for real-time dynamic supervision of account funds. , Indicates the total number of security detection points for real-time dynamic supervision of account funds.

[0099] Represents the real-time dynamic supervision security assessment index of account funds.

[0100] Indicates The real-time dynamic supervision accuracy assessment index of account funds at each account funds real-time dynamic supervision accuracy detection point.

[0101] Indicates The account funds real-time dynamic supervision network status monitoring assessment index of each account funds real-time dynamic supervision network status monitoring detection point.

[0102] Indicates Real-time dynamic supervision of account funds and encryption delays under security detection points.

[0103] It represents the encryption delay threshold, which is the preset encryption delay threshold obtained from the real-time dynamic database of account funds. It represents the maximum acceptable delay time when performing encryption operations. If the encryption delay at a security detection point of real-time dynamic supervision of account funds is greater than the encryption delay threshold, the security of real-time dynamic supervision of account funds will be affected.

[0104] The weight factor of the preset account funds real-time dynamic supervision accuracy assessment index obtained from the account funds real-time dynamic database.

[0105] It is the weight factor of the preset account funds real-time dynamic supervision network status monitoring and evaluation index obtained from the account funds real-time dynamic database.

[0106] It is a preset encrypted delay weight factor obtained from the real-time dynamic database of account funds.

[0107] The preset weight factor of the accuracy assessment index of real-time dynamic supervision of account funds, the preset weight factor of the network status monitoring assessment index of real-time dynamic supervision of account funds and the preset weight factor of encryption delay can be obtained through the real-time dynamic database of account funds, indicating the proportion of the real-time dynamic supervision accuracy assessment index of account funds, the network status monitoring assessment index of real-time dynamic supervision of account funds and the encryption delay in the security assessment index of real-time dynamic supervision of account funds. The preset weight factor of the accuracy assessment index of real-time dynamic supervision of account funds, the preset weight factor of the network status monitoring assessment index of real-time dynamic supervision of account funds and the preset weight factor of encryption delay can also be obtained through mapping relationships. For example, through the relationship between the accuracy assessment index of real-time dynamic supervision of account funds, the network status monitoring assessment index of real-time dynamic supervision of account funds and the encryption delay and throughput in historical data, a mapping set of the accuracy assessment index of real-time dynamic supervision of account funds, the network status monitoring assessment index of real-time dynamic supervision of account funds and the encryption delay and their corresponding weights is established respectively. By inputting the real-time accuracy assessment index of real-time dynamic supervision of account funds, the network status monitoring assessment index of real-time dynamic supervision of account funds and the encryption delay, the corresponding preset weight factor of the real-time dynamic supervision accuracy assessment index of account funds, the preset weight factor of the network status monitoring assessment index of real-time dynamic supervision of account funds and the preset encryption delay weight factor in the mapping set are obtained.

[0108] Table 1 is an example table of the security assessment index of real-time dynamic supervision of account funds. The example parameters in Table 1 only take the parameters under one real-time dynamic supervision security detection point of account funds for illustration. Set to 0.4, weight factor Set to 0.3, weight factor Set to 0.3, The encryption delay threshold is 2, as shown in Table 1.

[0109] Table 1 Example of real-time dynamic supervision security assessment index for account funds

[0110]

[0111] From Table 1 and Figure 2 It can be obtained that the larger the network status monitoring and evaluation index of real-time dynamic supervision of account funds, the greater the encryption delay, because the transmission time of data packets in the network will increase, and network instability will lead to data packet loss or retransmission, further increasing the encryption delay. The encryption delay will affect the timeliness of data processing. The higher the encryption delay, the data cannot be processed and transmitted in time, which will affect the network status monitoring and evaluation index of real-time dynamic supervision of account funds. The network status monitoring and evaluation index of real-time dynamic supervision of account funds affects the reliability of data transmission. Unstable network conditions will lead to data transmission errors or interruptions, which will affect the accuracy evaluation index of real-time dynamic supervision of account funds.

[0112] The larger the accuracy assessment index of real-time dynamic supervision of account funds, the fewer errors in data transmission and processing, which helps to improve the security of real-time dynamic supervision of account funds and can detect anomalies in time. There is a positive correlation between the accuracy assessment index of real-time dynamic supervision of account funds and the security assessment index of real-time dynamic supervision of account funds, and the larger the security assessment index of real-time dynamic supervision of account funds is; the larger the network status monitoring and assessment index of real-time dynamic supervision of account funds is, the reliability of data transmission is affected, thereby reducing the security of real-time dynamic supervision of account funds. Poor network conditions lead to data leakage, tampering or loss, increasing security risks. There is a negative correlation between the network status monitoring and assessment index of real-time dynamic supervision of account funds and the security assessment index of real-time dynamic supervision of account funds, and the lower the security assessment index of real-time dynamic supervision of account funds is; encryption delay affects the timeliness of data processing, thereby reducing the accuracy of real-time dynamic supervision and monitoring of account funds. There is a negative correlation between encryption delay and the security assessment index of real-time dynamic supervision of account funds, and the lower the security assessment index of real-time dynamic supervision of account funds is.

[0113] like Figure 2 As shown, it is a schematic diagram of the account funds real-time dynamic supervision security assessment index function provided in the embodiment of the present application; x is the positive half axis of the horizontal axis, and y is the positive half axis of the vertical axis.

[0114] Curve a indicates that if the network status monitoring and evaluation index of real-time dynamic supervision of account funds is set to a fixed value of 1, the encryption delay is set to a fixed value of 1, the accuracy evaluation index of real-time dynamic supervision of account funds is x, and the security evaluation index of real-time dynamic supervision of account funds is y, the security evaluation index of real-time dynamic supervision of account funds increases as the accuracy evaluation index of real-time dynamic supervision of account funds increases.

[0115] Furthermore, the specific steps for optimizing and adjusting the network status monitoring method for real-time dynamic supervision of account funds are as follows: if the network status monitoring evaluation index for real-time dynamic supervision of account funds is lower than or equal to the first threshold value of the network status monitoring evaluation index for real-time dynamic supervision of account funds, there is no need to optimize and adjust the network status monitoring method for real-time dynamic supervision of account funds; if the network status monitoring evaluation index for real-time dynamic supervision of account funds is greater than the first threshold value of the network status monitoring evaluation index for real-time dynamic supervision of account funds, then increase the bandwidth capacity, optimize the network topology to reduce the number of hops for data packet transmission, and use load balancing technology to distribute SMS sending tasks to multiple servers.

[0116] In this embodiment, it is assumed that the first threshold value of the network status monitoring and evaluation index of real-time dynamic supervision of account funds is 100, and the current network status monitoring and evaluation index of real-time dynamic supervision of account funds is 120. It is assumed that the current network bandwidth is 1 Gbps and the bandwidth needs to be increased. After the bandwidth is increased, the bandwidth is 2 Gbps. The increased throughput = old bandwidth / new bandwidth = 1 Gbps / 2 Gbps. It is assumed that the current network topology causes the average number of data packet transmission hops to be 5 hops. By optimizing the network topology, it is reduced to 3 hops, and the reduced delay = (old hop number − new hop number) / old hop number = 40%. It is assumed that there are currently 10 SMS sending tasks, but only one server handles these tasks. Use load balancing technology to distribute the tasks to 4 servers. Through these optimization measures, until the network status monitoring and evaluation index of real-time dynamic supervision of account funds is lower than or equal to the first threshold value of the network status monitoring and evaluation index of real-time dynamic supervision of account funds.

[0117] Furthermore, the specific steps for optimizing and adjusting the accuracy method of real-time dynamic supervision of account funds are as follows: if the accuracy assessment index of real-time dynamic supervision of account funds is greater than or equal to the second threshold value of the accuracy assessment index of real-time dynamic supervision of account funds, there is no need to optimize and adjust the accuracy method of real-time dynamic supervision of account funds; if the accuracy assessment index of real-time dynamic supervision of account funds is lower than the second threshold value of the accuracy assessment index of real-time dynamic supervision of account funds, use encryption technology AES Advanced Encryption Standard to protect account funds information, implement anomaly detection mechanism, timely discover and process abnormal data, and establish a secure communication channel through a secure communication protocol.

[0118] In this embodiment, it is assumed that the second threshold value of the accuracy evaluation index of real-time dynamic supervision of account funds is 90, and the current accuracy evaluation index of real-time dynamic supervision of account funds is 85, which is lower than the second threshold value. It is assumed that a weaker encryption algorithm is currently used, resulting in a higher risk of data leakage. Switch to the AES-256 encryption algorithm to provide stronger encryption protection. It is assumed that there is no anomaly detection mechanism at present, and abnormal data cannot be discovered and processed in time. A machine learning-based anomaly detection mechanism is implemented to automatically identify and process abnormal data. It is assumed that an unsafe communication protocol is currently used, and the data transmission process may be intercepted or tampered with. Switch to the TLS 1.3 protocol to provide stronger communication security. Through these optimization measures, the accuracy evaluation index of real-time dynamic supervision of account funds is greater than or equal to the second threshold value of the accuracy evaluation index of real-time dynamic supervision of account funds.

[0119] Furthermore, the specific steps of comparing and analyzing the real-time dynamic supervision security assessment index of account funds with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds are: extracting the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds in the real-time dynamic database of account funds, and comparing the real-time dynamic supervision security assessment index of account funds with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds.

[0120] Furthermore, the specific steps for optimizing and adjusting the method of real-time dynamic supervision of account funds are as follows: if the security assessment index of real-time dynamic supervision of account funds is greater than or equal to the comprehensive threshold of the security assessment index of real-time dynamic supervision of account funds, there is no need to send early warning information via SMS; if the security assessment index of real-time dynamic supervision of account funds is lower than the comprehensive threshold of the security assessment index of real-time dynamic supervision of account funds, it is necessary to send early warning information via SMS.

[0121] In this embodiment, the fund data is analyzed in real time, and whether there is a risk situation is determined according to the set risk rules. Once a risk is found, the early warning mechanism is triggered immediately. In addition to sending SMS, the early warning method can also be combined with other notification methods such as emails, system internal messages, etc. At the same time, the early warning information should include detailed risk content, such as the amount of abnormal transactions, the accounts involved, etc.

[0122] Specifically, Figure 3 As shown, SMS messages with the same content received on the same day but not received on the same day are not defined as duplicate SMS messages. Only SMS messages that successfully resolve transaction records are processed. SMS messages that fail to resolve through the rules are not processed. The system automatically returns duplicate transaction records. Reason for return: If duplicates are detected, the system automatically returns them. Returned transaction records are not deleted. Returned transaction records are not reflected in statistics and reports. Returned transaction records can be submitted and reported in the data list. After submission, they can be automatically included in the report statistics.

[0123] Furthermore, optimizing and adjusting the real-time dynamic supervision method of account funds also includes: if there is no need to send warning information via SMS, there is no need to optimize and adjust the real-time dynamic supervision method of account funds; if it is necessary to send warning information via SMS, edge computing is used to process data, blockchain technology is used to verify the SMS warning information, and NLP technology is used to automatically parse and generate SMS content.

[0124] In this embodiment, assuming that the real-time dynamic supervision security assessment index of account funds is 110, and the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds is 120, it is necessary to send warning information via SMS, and to use edge computing to process data, blockchain technology to verify SMS warning information, and NLP technology to automatically parse and generate SMS content. Assuming that the current data processing delay is 100ms, but the data needs to be processed faster to send warning information, by deploying edge computing nodes, the data processing tasks are assigned to a location closer to the data source. Assuming that the current verification process of SMS warning information takes 10 seconds, but the information needs to be verified faster to reduce the sending delay, by using blockchain technology, the SMS warning information is recorded on the blockchain to achieve rapid verification. These technologies are optimized until the real-time dynamic supervision security assessment index of account funds is greater than or equal to the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds.

[0125] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0126] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0127] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0129] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0130] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A real-time dynamic monitoring system for account funds based on SMS data, characterized in that: include: Modules for collecting real-time dynamic supervision data of account funds, analysis of real-time dynamic supervision data of account funds, comprehensive analysis module and optimization and adjustment of real-time dynamic supervision module of account funds: Wherein, the module for collecting real-time dynamic supervision data of account funds is used to collect and process real-time dynamic supervision data of account funds; The real-time dynamic supervision data analysis module for account funds is used to analyze the real-time dynamic supervision data for account funds to obtain a real-time dynamic supervision network status monitoring and evaluation index for account funds and a real-time dynamic supervision accuracy evaluation index for account funds; The comprehensive analysis module is used to comprehensively analyze and obtain the real-time dynamic supervision security assessment index of account funds; The module for optimizing and adjusting the real-time dynamic supervision of account funds is used to compare and analyze the real-time dynamic supervision network status monitoring and evaluation index of account funds with the first threshold of the real-time dynamic supervision network status monitoring and evaluation index of account funds, and optimize and adjust the real-time dynamic supervision network status monitoring method of account funds; compare and analyze the real-time dynamic supervision accuracy evaluation index of account funds with the second threshold of the real-time dynamic supervision accuracy evaluation index of account funds, and optimize and adjust the real-time dynamic supervision accuracy method of account funds; compare and analyze the real-time dynamic supervision security evaluation index of account funds with the comprehensive threshold of the real-time dynamic supervision security evaluation index of account funds, and optimize and adjust the real-time dynamic supervision method of account funds; The specific steps to obtain the real-time dynamic supervision network status monitoring and evaluation index of account funds are as follows: The entropy analysis tool is used to obtain the key entropy at the preset account funds real-time dynamic supervision network status monitoring detection point; The key length at the preset account funds real-time dynamic supervision network status monitoring detection point is obtained through the configuration file of the encryption system; Through the network delay test tool, the network delay at the detection point of real-time dynamic supervision of the preset account funds network status monitoring is obtained; Use the bandwidth test tool to obtain the network bandwidth at the preset account funds real-time dynamic supervision network status monitoring detection point; Get the preset account funds in real time through network monitoring tools to dynamically monitor the network status and network throughput under the detection segment; Use the Wireshark network monitoring tool to obtain the network packet loss rate at the preset account funds real-time dynamic supervision network status monitoring detection point; The real-time dynamic supervision network status monitoring data of the account funds includes key entropy, key length, network delay, network bandwidth, network throughput and network packet loss rate; The monitoring and evaluation index of the network status of real-time dynamic supervision of account funds is obtained based on the monitoring data of the network status of real-time dynamic supervision of account funds; The specific process of obtaining the real-time dynamic supervision accuracy assessment index of account funds is as follows: The key entropy of the preset account funds real-time dynamic supervision accuracy detection point is obtained through the entropy analysis tool; Obtain the key length of the preset account funds real-time dynamic supervision accuracy detection point through the configuration file of the encryption system; Get the network jitter of the preset account funds real-time dynamic supervision accuracy detection point through the network performance monitor; The key update frequency of the preset account funds real-time dynamic supervision accuracy detection point is obtained through the key management software; The network throughput of the preset account funds real-time dynamic supervision accuracy detection segment is obtained through the network monitoring tool; The real-time dynamic supervision accuracy data of account funds includes key entropy, key length, network jitter, key update frequency and network throughput; The real-time dynamic supervision accuracy evaluation index of account funds is obtained based on the real-time dynamic supervision accuracy data of account funds; The specific steps for obtaining the real-time dynamic supervision security assessment index of account funds through comprehensive analysis are as follows: The encryption delay test equipment is used to obtain the encryption delay of the preset account funds real-time dynamic supervision security detection point; The real-time dynamic supervision of account funds security assessment index is obtained through comprehensive analysis of the real-time dynamic supervision of account funds accuracy assessment index, the real-time dynamic supervision of account funds network status monitoring assessment index and encryption delay.

2. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The specific steps of collecting and processing the real-time dynamic supervision data of account funds are as follows: Collect account funds through equipment to monitor raw data in real time and dynamically; The original data of real-time dynamic supervision of account funds is cleaned and denoised to obtain the original data of real-time dynamic supervision of account funds, wherein the original data of real-time dynamic supervision of account funds includes network status monitoring data of real-time dynamic supervision of account funds and accuracy data of real-time dynamic supervision of account funds.

3. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the real-time dynamic supervision network status monitoring of account funds are as follows: If the network status monitoring and evaluation index of real-time dynamic supervision of account funds is lower than or equal to the first threshold of the network status monitoring and evaluation index of real-time dynamic supervision of account funds, there is no need to optimize and adjust the network status monitoring method of real-time dynamic supervision of account funds; If the account funds real-time dynamic supervision network status monitoring and evaluation index is greater than the account funds real-time dynamic supervision network status monitoring and evaluation index first threshold, then increase the bandwidth capacity, optimize the network topology to reduce the number of hops for data packet transmission, and use load balancing technology to distribute SMS sending tasks to multiple servers.

4. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the accuracy of real-time dynamic supervision of account funds are as follows: If the real-time dynamic supervision accuracy assessment index of account funds is greater than or equal to the second threshold value of the real-time dynamic supervision accuracy assessment index of account funds, there is no need to optimize and adjust the real-time dynamic supervision accuracy method of account funds; If the real-time dynamic supervision accuracy assessment index of account funds is lower than the second threshold of the real-time dynamic supervision accuracy assessment index of account funds, the encryption technology AES advanced encryption standard is used to protect the account funds information, implement the anomaly detection mechanism, timely discover and process abnormal data, and establish a secure communication channel through a secure communication protocol.

5. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The specific steps of comparing and analyzing the real-time dynamic supervision security assessment index of account funds with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds are as follows: The comprehensive threshold of the real-time dynamic supervision security assessment index of account funds is extracted from the real-time dynamic database of account funds, and the real-time dynamic supervision security assessment index of account funds is compared with the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds.

6. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The specific steps of the method for optimizing and adjusting the real-time dynamic supervision of account funds are as follows: If the real-time dynamic supervision security assessment index of account funds is greater than or equal to the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds, there is no need to send warning information via SMS; If the real-time dynamic supervision security assessment index of account funds is lower than the comprehensive threshold of the real-time dynamic supervision security assessment index of account funds, it is necessary to send an early warning message via SMS.

7. The real-time dynamic monitoring system for account funds based on SMS data as claimed in claim 1, characterized in that: The method for optimizing and adjusting the real-time dynamic supervision of account funds also includes: If there is no need to send early warning information via SMS, there is no need to optimize and adjust the real-time dynamic supervision method of account funds; If it is necessary to send warning information via SMS, edge computing is used to process data, blockchain technology is used to verify the SMS warning information, and NLP technology is used to automatically parse and generate SMS content.

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