A state machine system for insider threat detection
The risk from insider threats is rising significantly, yet the majority of organizations are ill-prepared to detect and mitigate them. Research has focused on providing rule-based detection systems or anomaly detection tools which use features indicative of malicious insider activity. In this paper...
| Главные авторы: | , , , , |
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| Формат: | Conference item |
| Опубликовано: |
Springer, Cham
2019
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