A network security evaluation system and method based on a dynamic attack-defense game model

Through the network security assessment system of dynamic attack and defense game model, real-time monitoring and optimization of defense strategies are carried out, which solves the lack of real-time and dynamic nature of network security assessment in existing technologies and realizes effective defense against advanced persistent threats and accurate risk prediction.

CN119544307BActive Publication Date: 2025-10-10CHINESE PEOPLES LIBERATION ARMY 92493 UNIT INFORMATION TECH CENT
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Patent Information

Application Number
CN202411691613.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-10-10
Estimated Expiration
2044-11-25

AI Technical Summary

Technical Problem

Existing network security assessment methods lack real-time and dynamic capabilities, making it difficult to cope with advanced persistent threats and unknown attacks. Traditional static analysis cannot capture dynamic network attack and defense behaviors, resulting in one-sided assessment results and insufficient defense strategies.

Method used

A network security assessment system based on a dynamic attack and defense game model is adopted. Through the attack and defense game construction module, risk prediction module, dynamic defense optimization module, security situation awareness module and defense feedback module, the network status is monitored in real time, the defense strategy is adjusted dynamically, and defense measures are optimized by combining machine learning and deep learning.

Benefits of technology

It realizes the real-time network security assessment and intelligent defense, can accurately predict the attack path, optimize resource allocation, improve the flexibility of the defense system and its ability to respond to complex attacks, generate dynamic security situation maps, and help administrators make timely decisions.

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Abstract

The application belongs to the field of network security, and discloses a network security evaluation system and method based on a dynamic attack-defense game model, wherein the evaluation system comprises four functional modules of attack-defense game construction, risk prediction, dynamic defense optimization and security situation awareness.The application introduces the idea of dynamic attack-defense game, carries out multi-level and multi-scene attack-defense simulation according to historical state, strategy data and real-time data, calculates and analyzes the best attack path and attack strategy through game equilibrium solution, pre-trains the generated defense rule base relying on reinforcement learning and deep learning technology, dynamically adjusts network resources and network security resources, and optimizes network configuration according to real-time evaluation results to reduce the waste of system resources.Through the execution of the system and method in the application, the security of the target network can be dynamically evaluated, the security defense strategy of the network can be real-timely adjusted, and unknown attacks such as advanced persistent threat (APT) and zero-day attack can be effectively resisted.
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