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: | Zhang, H, Agrafiotis, I, Erola, A, Creese, S, Goldsmith, M |
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Формат: | Conference item |
Опубликовано: |
Springer, Cham
2019
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