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Obfuscation of Malicious Behaviors for Thwarting Masquerade Detection Systems Based on Locality Features
2020
Sensors
In recent years, dynamic user verification has become one of the basic pillars for insider threat detection. From these threats, the research presented in this paper focuses on masquerader attacks, a category of insiders characterized by being intentionally conducted by persons outside the organization that somehow were able to impersonate legitimate users. Consequently, it is assumed that masqueraders are unaware of the protected environment within the targeted organization, so it is expected
doi:10.3390/s20072084
pmid:32272806
fatcat:kzwek2ag7jaqxehrvyepu3fnte