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Deception for Cyber Defence: Challenges and Opportunities. (arXiv:2208.07127v1 [cs.CR])
Aug. 16, 2022, 1:10 a.m. | David Liebowitz, Surya Nepal, Kristen Moore, Cody J. Christopher, Salil S. Kanhere, David Nguyen, Roelien C. Timmer, Michael Longland, Keerth Rathakum
cs.LG updates on arXiv.org arxiv.org
Deception is rapidly growing as an important tool for cyber defence,
complementing existing perimeter security measures to rapidly detect breaches
and data theft. One of the factors limiting the use of deception has been the
cost of generating realistic artefacts by hand. Recent advances in Machine
Learning have, however, created opportunities for scalable, automated
generation of realistic deceptions. This vision paper describes the
opportunities and challenges involved in developing models to mimic many common
elements of the IT stack for …
More from arxiv.org / cs.LG updates on arXiv.org
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