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Modeling Advanced Persistent Threats to enhance anomaly detection techniques

Abstract:

Advanced Persistent Threats (APTs) are characterized by their complexity and ability to stay relatively dormant and undetected on a computer system before launching a devastating attack. Numerous unsuccessful attempts have utilized machine learning techniques and rule-based technologies to try and detect these sophisticated attacks. In this paper, we opt for a more theoretical approach to identify unique APT characteristics, distinguishable from other multi-stage attacks. We model four well-k...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.22667/JOWUA.2018.12.31.071

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Publisher:
Innovative Information Science and Technology Research Group Publisher's website
Journal:
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) Journal website
Volume:
9
Issue:
4
Pages:
71-102
Publication date:
2018-12-31
Acceptance date:
2018-12-20
DOI:
EISSN:
2093-5382
ISSN:
2093-5374
Pubs id:
pubs:955401
URN:
uri:4bd1246e-8558-4a94-b3d4-be32ff1eac66
UUID:
uuid:4bd1246e-8558-4a94-b3d4-be32ff1eac66
Local pid:
pubs:955401

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