Anomaly-Based Insider Threat Detection Using Deep Autoencoders

In recent years, the malicious insider threat has become one of the most significant cyber security threats that an organisation can be subject to. Due to an insider's natural ability to evade deployed information security mechanisms such as firewalls and endpoint protections, the detection of...

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Veröffentlicht in:	IEEE ... International Conference on Data Mining workshops S. 39 - 48
Hauptverfasser:	Liu, Liu, De Vel, Olivier, Chen, Chao, Zhang, Jun, Xiang, Yang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2018
Schlagworte:	Australia Computers cyber security data analytics Data mining deep autoencoder Deep learning Electrical engineering Feature extraction Insider threats Software
ISSN:	2375-9259
Online-Zugang:	Volltext
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