Insider Threat Detection Based on User Behavior Modeling and Anomaly Detection Algorithms

Insider threats are malicious activities by authorized users, such as theft of intellectual property or security information, fraud, and sabotage. Although the number of insider threats is much lower than external network attacks, insider threats can cause extensive damage. As insiders are very fami...

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Veröffentlicht in:Applied sciences Jg. 9; H. 19; S. 4018
Hauptverfasser: Kim, Junhong, Park, Minsik, Kim, Haedong, Cho, Suhyoun, Kang, Pilsung
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.10.2019
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ISSN:2076-3417, 2076-3417
Online-Zugang:Volltext
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