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Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception. (arXiv:2111.11932v2 [cs.CR] UPDATED)
Nov. 28, 2022, 2:10 a.m. | Kristen Moore, Cody J. Christopher, David Liebowitz, Surya Nepal, Renee Selvey
cs.CR updates on arXiv.org arxiv.org
Cyber deception is emerging as a promising approach to defending networks and
systems against attackers and data thieves. However, despite being relatively
cheap to deploy, the generation of realistic content at scale is very costly,
due to the fact that rich, interactive deceptive technologies are largely
hand-crafted. With recent improvements in Machine Learning, we now have the
opportunity to bring scale and automation to the creation of realistic and
enticing simulated content. In this work, we propose a framework to …
More from arxiv.org / cs.CR updates on arXiv.org
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