Dynamic authority and data boundary control system and method based on behavior credit

By constructing a dynamic permission and data boundary control system based on behavioral credit, multi-dimensional behavioral data is collected in real time, credit scores are dynamically calculated and permission levels are mapped, solving the rigidity problem of existing permission management systems, achieving synergy between security and user experience, and improving the system's adaptability and security.

CN121502787APending Publication Date: 2026-02-10CHENGDU DUER TIANHONG TECH CO LTD
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Patent Information

Application Number
CN202511675631.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-16
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

Existing access control systems cannot dynamically adapt to changes in user behavior and trust levels. Credit assessment is incomplete, leading to excessive or insufficient permissions, conflict between security and user experience, delayed response, and a lack of adaptive control mechanisms.

Method used

A dynamic permission and data boundary control system based on behavioral credit is constructed. By collecting multi-dimensional behavioral data in real time, credit scores are dynamically calculated and mapped to system permission levels to achieve real-time authentication and closed-loop optimization.

Benefits of technology

It enables dynamic and adaptive adjustment of permissions, improving the system's security and adaptability, and providing the ability to quickly respond to internal abuse and external attacks, thus enhancing the system's security resilience.

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Abstract

The invention discloses a dynamic authority and data boundary control system and method based on behavior credit, and belongs to the technical field of computer security and access control. The method comprises the steps of collecting behavior data of a user in real time and constructing a time sequence feature vector, wherein the behavior data comprises user native data and system interaction data; dynamically calculating a behavior credit score of the user based on a time sequence model; mapping the behavior credit score to a fine-grained dynamic permission level through a nonlinear mapping function; and performing real-time authentication and control on data access, function calling and resource operation requests of the user according to the dynamic permission level. By establishing a dynamic credit evaluation and authority adaptive adjustment mechanism driven by behavior data, the technical problem that a traditional authority system is static and rigid and is difficult to adapt to the real-time trust state change of a user is solved, and the security and adaptive capability of a digital system are improved.
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