Deception for Cyber Defence: Challenges and Opportunities
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Abstract (arXiv)
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 deception effects.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 39 of its 87 references that are in the map. First posted on arXiv 15 Aug 2022.
Builds on
39 of 87 references.
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