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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Bibliographic Details

Published in:	IEEE ... International Conference on Data Mining workshops pp. 39 - 48
Main Authors:	Liu, Liu, De Vel, Olivier, Chen, Chao, Zhang, Jun, Xiang, Yang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2018
Subjects:	Australia Computers cyber security data analytics Data mining deep autoencoder Deep learning Electrical engineering Feature extraction Insider threats Software
ISSN:	2375-9259
Online Access:	Get full text
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