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Detecting and preventing cyber insider threats: a survey

Liu, Liu, De Vel, Olivier, Han, Qing Long, Zhang, Jun and Xiang, Yang 2018, Detecting and preventing cyber insider threats: a survey, IEEE communications surveys and tutorials, vol. 20, no. 2, pp. 1397-1418, doi: 10.1109/COMST.2018.2800740.

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Title Detecting and preventing cyber insider threats: a survey
Author(s) Liu, Liu
De Vel, Olivier
Han, Qing Long
Zhang, JunORCID iD for Zhang, Jun orcid.org/0000-0002-2189-7801
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Journal name IEEE communications surveys and tutorials
Volume number 20
Issue number 2
Start page 1397
End page 1418
Total pages 22
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2018-02
ISSN 1553-877X
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Telecommunications
Computer Science
Insider threats
data analytics
machine learning
cyber security
Internet traffic consultation
Intrusion detection
Security
Systems
Authentication
Information
Dynamics
Botnets
Scheme
Model
Language eng
DOI 10.1109/COMST.2018.2800740
Field of Research 0805 Distributed Computing
0906 Electrical And Electronic Engineering
1005 Communications Technologies
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30113165

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Citation counts: TR Web of Science Citation Count  Cited 148 times in TR Web of Science
Scopus Citation Count Cited 176 times in Scopus Google Scholar Search Google Scholar
Access Statistics: 202 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 06 Sep 2018, 12:06:43 EST

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