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Validating an insider threat detection system: A real scenario perspective

Abstract:

There exists unequivocal evidence denoting the dire consequences which organisations and governmental institutions face from insider threats. While the in-depth knowledge of the modus operandi that insiders possess provides ground for more sophisticated attacks, organisations are ill-equipped to detect and prevent these from happening. The research community has provided various models and detection systems to address the problem, but the lack of real data due to privacy and ethical issues re...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/SPW.2016.36

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
SPW 2016: IEEE Workshop on Research for Insider Threats
Journal:
SPW 2016: IEEE Workshop on Research for Insider Threats More from this journal
Publication date:
2016-08-04
Acceptance date:
2016-02-15
DOI:
Pubs id:
pubs:615301
UUID:
uuid:c82fa5ff-eed3-4d0e-8fbd-5c97de1d1d78
Local pid:
pubs:615301
Source identifiers:
615301
Deposit date:
2016-04-14

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