一种基于云平台的软件运行后台数据安全管理系统
By establishing a hierarchical behavioral baseline and dynamically adjusting the blocking threshold in the online education platform, the problem of identifying behavioral differences when users' abilities match the course difficulty in existing technologies has been solved, achieving efficient detection and protection against abnormal access.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN DIGITAL TECHNOLOGY CO LTD
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing online education data security solutions fail to effectively identify behavioral differences when users' abilities match the difficulty of courses, cannot identify continuous theft using temporal continuity and environmental interference, and have statically fixed detection thresholds that cannot adapt to individual behavioral fluctuations, resulting in poor anomaly detection accuracy and false positives and false negatives.
By using the request parsing module, feature extraction module, baseline acquisition module, risk assessment module, and blocking decision module, a hierarchical behavioral baseline is established based on the matching status between course difficulty and user ability. Temporal continuity verification and environmental noise compensation are performed, and the blocking threshold is dynamically adjusted to adapt to the stability of user behavior and the busy and idle periods of the system.
It improves the accuracy of identifying learning behaviors disguised as user capabilities, accurately identifies extremely low-frequency slow crawling or theft behaviors simulating normal rhythm, and reduces false positives and false negatives.
Smart Images
Figure CN122241663B_ABST