BRITD: behavior rhythm insider threat detection with time awareness and user adaptation

BRITD: behavior rhythm insider threat detection with time awareness and user adaptation

Abstract Researchers usually detect insider threats by analyzing user behavior. The time information of user behavior is an important concern in internal threat detection. Existing works on insider threat detection fail to make full use of the time information, which leads to their poor detection pe...

Full description

Bibliographic Details
Main Authors: Shuang Song, Neng Gao, Yifei Zhang, Cunqing Ma
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Cybersecurity
Subjects:
Insider threat detection
Behavior pattern mining
Time information
User adaptive
Deep learning
Online Access:https://doi.org/10.1186/s42400-023-00190-9

Internet

https://doi.org/10.1186/s42400-023-00190-9

Similar Items