Asymptotic Security using Bayesian Defense Mechanisms with Application to Cyber Deception. (arXiv:2201.02351v1 [cs.CR])

This study addresses the question whether model knowledge can prevent a
defender from being deceived or not in cyber security. As a specific
model-based defense scheme, this study treats Bayesian defense mechanism, which
monitors the system's behavior, forms a belief on existence of the attacker,
and chooses appropriate reactions. Sophisticated attackers aim at achieving her
objective while avoiding being detected by deceiving the defender. In this
paper, their dynamic decision making is formulated as a stochastic signaling
game. It is …

application cyber cyber deception deception defense security