A dynamic man-machine verification method based on access path modeling

By establishing an access path behavior feature model and calculating multiple abnormal indices for multi-stage risk assessment, the problem of difficulty in identifying abnormal interface access behavior in existing technologies is solved, and dynamic human-machine verification and security protection for application systems are realized.

CN122046323BActive Publication Date: 2026-06-23XIAMEN KUAIKUAI NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAMEN KUAIKUAI NETWORK TECH CO LTD
Filing Date
2026-04-01
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify and control abnormal application system interface access behavior, especially automated script batch calls and malicious crawlers, leading to security risks such as system resource consumption and data leakage. Furthermore, they lack multi-stage risk assessment and step-by-step verification mechanisms.

Method used

By collecting interface access logs, session behavior data, and business object processing data, an access path behavior feature model is established, and access path anomaly index, behavior rhythm deviation index, and business semantic conflict index are calculated to conduct multi-stage risk assessment and dynamic human-machine verification.

Benefits of technology

It enables comprehensive expression and quantitative analysis of user access path structure, time rhythm and business semantics, improves the accuracy of abnormal access behavior identification and system security protection capabilities, and enables dynamic intervention and closed-loop verification in the early stage of risks.

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Abstract

The application provides a dynamic man-machine verification method based on access path modeling, and relates to the technical field of electric data processing.The application collects interface access log data in the interface calling process of a user, session behavior data in the session access process of the user and original access behavior data in the business object processing process, and establishes an access path behavior characteristic model; respectively calculates an access path anomaly index, a behavior rhythm deviation index and a business semantic conflict index, and evaluates them, so as to realize the graded identification of access path structure anomaly, access behavior rhythm anomaly and business semantic conflict risk.When an anomaly is detected, the system triggers access risk control, access behavior reinforcement verification and dynamic multi-factor man-machine verification strategies in sequence, and updates the access path behavior characteristic model, so as to form a closed-loop dynamic man-machine verification mechanism, thereby improving the identification capability of the application system to automatic script access and abnormal operation behavior.
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Citation Information

Patent Citations

  • Cloud desktop security access control method based on zero-trust architecture

    CN120750599A

  • Dynamic access blocking method based on zero trust

    CN121217444A