Mirage: cyber deception against autonomous cyber attacks in emulation and simulation

Michael Kouremetis, Dean Lawrence,Ron Alford, Zoe Cheuvront, David Davila, Benjamin Geyer, Trevor Haigh, Ethan Michalak, Rachel Murphy, Gianpaolo Russo

Annals of Telecommunications(2024)

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摘要
As the capabilities of cyber adversaries continue to evolve, now in parallel to the explosion of maturing and publicly-available artificial intelligence (AI) technologies, cyber defenders may reasonably wonder when cyber adversaries will begin to also field these AI technologies. In this regard, some promising (read: scary) areas of AI for cyber attack capabilities are search, automated planning, and reinforcement learning. As such, one possible defensive mechanism against future AI-enabled adversaries is that of cyber deception. To that end, in this work, we present and evaluate Mirage, an experimentation system demonstrated in both emulation and simulation forms that allows for the implementation and testing of novel cyber deceptions designed to counter cyber adversaries that use AI search and planning capabilities.
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关键词
Cyber security,Deception,Adversary emulation,Reinforcement learning
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