Network security monitoring system based on big data analysis

Through a network security monitoring system based on big data analysis, real-time monitoring and comparison with historical data, identify abnormal fluctuations in network behavior, evaluate network security risks, track attack paths, and implement isolation and service closure measures, the problem of traditional systems insufficient response in the face of unknown or mutated attacks is solved, and efficient and accurate threat detection and rapid response are achieved.

CN119728279AActive Publication Date: 2025-03-28STATE GRID SHANDONG ELECTRIC POWER COMPANY WEIFANG POWER SUPPLY
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Patent Information

Application Number
CN202411967260.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-03-28
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

Traditional network security monitoring systems are insufficient in response to unknown or mutated attack methods, and cannot effectively prevent or quickly respond to zero-day vulnerabilities and advanced persistent threats, which are prone to missed or false alarms, and have a long response time in complex network environments, which increases network operation and maintenance costs and affects the business continuity and data security of the enterprise.

Method used

The network security monitoring system based on big data analysis is adopted, and through the historical behavior analysis module, risk assessment module, attack path analysis module and emergency response module, it monitors and compares with historical data in real time, identifies abnormal fluctuations in network behavior, evaluates network security risks, tracks attack paths, implements isolation and service closure measures, and optimizes network security protection.

Benefits of technology

It improves the accuracy of threat detection, reduces the occurrence of false alarms, improves the timeliness of risk warnings, enhances the ability to identify complex attack patterns, and can quickly cut off potential attack links without affecting normal business operations, optimizing the security protection efficiency of computer networks and the stability of the system.

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Abstract

The invention relates to the technical field of computer security, in particular to a network security monitoring system based on big data analysis, which comprises a historical behavior analysis module, a risk assessment module, an attack path analysis module and an emergency response module. According to the method, through real-time monitoring and comparison with historical data, abnormal fluctuation of network behaviors can be accurately identified, specific risks of the abnormal fluctuation of the network behaviors on network security are rapidly evaluated, the accuracy of threat detection is improved, false alarms can be effectively reduced, and through analysis of network topology and behavior data, the network security is improved. The method can effectively track the flow direction of abnormal data, identify potential attack sources and attack paths, improve the timeliness of risk early warning, enhance the identification capability of complex attack modes, and rapidly cut off potential attack links without affecting normal business operation by implementing isolation and service closing measures, thereby improving the risk early warning efficiency. And the security protection efficiency of the computer network and the stability of the system are optimized.
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