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Deception in network defences using unpredictability

Abstract:

In this article, we propose a novel method that aims to improve upon existing moving-target defences by making them unpredictably reactive using probabilistic decision-making. We postulate that unpredictability can improve network defences in two key capacities: (1) by re-configuring the network in direct response to detected threats, tailored to the current threat and a security posture, and (2) by deceiving adversaries using pseudo-random decision-making (selected from a set of acceptable s...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3450973

Authors


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Role:
Author
ORCID:
0000-0002-0860-5130
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Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-7808-0600
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Journal:
Digital Threats: Research and Practice Journal website
Volume:
2
Issue:
4
Article number:
29
Publication date:
2021-10-15
Acceptance date:
2021-02-01
DOI:
EISSN:
2576-5337
ISSN:
2692-1626
Language:
English
Keywords:
Pubs id:
1205962
Local pid:
pubs:1205962
Deposit date:
2021-10-28

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