面向数字档案库的访问行为异常检测方法及系统
By combining access log features and risk assessment models with camera-based user identification, the challenge of detecting abnormal access behavior in digital archives has been solved, enabling refined monitoring and enhanced security, and improving the security and management efficiency of digital archives.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BI SHENGYUN (WUHAN) INFORMATION TECH CO LTD
- Filing Date
- 2025-05-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing security detection methods for digital archives are inadequate to effectively address complex and ever-changing abnormal access behaviors, especially in accurately identifying the qualifications of accessing objects, making it difficult to detect and respond to security threats in a timely manner.
By acquiring the characteristics of search keywords and sensitive files in the access logs, risk detection is carried out using a behavioral risk assessment model. Combined with camera recognition of accessing users, multiple auxiliary verification methods such as QR code scanning, voiceprint matching, and digital password verification are provided. A preset access path library is built and updated to achieve refined monitoring and anomaly detection of access behavior.
It enables refined monitoring and anomaly detection of access behavior, improves the security of digital archives, more accurately identifies abnormal access behavior, enhances system security through multi-layered security verification, flexibly formulates access policies, reduces the workload of administrators, and improves the accuracy and efficiency of path management.
Smart Images
Figure CN120654232B_ABST