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...

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Hlavní autoři: Zhang, H, Agrafiotis, I, Erola, A, Creese, S, Goldsmith, M
Médium: Conference item
Vydáno: Springer, Cham 2019