System security management method

By combining reinforcement learning, optimal control, and game theory models, the system dynamically adjusts access control, solving the problems of lagging risk assessment and imbalance between security and resource utilization in existing technologies. This enables the system to respond quickly and optimize resources when faced with dynamic user behavior.

CN120105460BActive Publication Date: 2025-11-28CHINA STANDARD INSPECTION CO LTD
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Patent Information

Application Number
CN202510275523.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-10
Publication Date
2025-11-28
Estimated Expiration
2045-03-10

AI Technical Summary

Technical Problem

Existing access control methods lack dynamic adjustment capabilities, have lagging risk assessments, and cannot balance security and resource utilization. This results in the system being unable to respond in a timely manner when faced with dynamic and complex user behaviors, increasing security risks and potentially leading to resource waste.

Method used

By combining reinforcement learning and optimal control theory, user behavior is monitored in real time. The interaction between the system and the user is optimized through a game theory model, and permissions are dynamically adjusted by an adaptive feedback mechanism to achieve a balance between security and resource utilization.

Benefits of technology

It enables rapid response to abnormal behavior, improves system flexibility and response speed, ensures that the system provides high security while making reasonable use of resources and avoiding excessive restriction of permissions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the field of network security, and discloses a system security management method: by monitoring user behavior data in real time and evaluating the security risk, the user access permission is dynamically adjusted; by combining reinforcement learning, optimal control theory and game theory model, the permission adjustment and protection strategy are optimized; by the adaptive feedback mechanism, the key model parameters are adjusted, the flexibility, response speed and security of the system are improved, and the maximization of resource utilization is ensured; the application also provides a system security management system: a behavior monitoring module, a permission adjustment module, a game theory model module and an adaptive feedback module. By combining reinforcement learning, optimal control theory, game theory model and adaptive feedback mechanism, the application realizes dynamic permission adjustment, intelligent risk assessment and optimized resource utilization, improves the system security and response speed, and solves the problems of permission management lag, excessive limitation and resource waste in the prior art.
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Citation Information

Patent Citations

  • Network security evaluation system and method based on dynamic attack and defense game model

    CN119544307A