Introduces three strategic learning schemes for active cyber defenses under parameter, payoff, and environmental uncertainty that share a sensation-estimation-action feedback loop to converge on optimal policies.
A methodology for intelligent honeypot deployment and active engagement of attackers
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Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense
Introduces three strategic learning schemes for active cyber defenses under parameter, payoff, and environmental uncertainty that share a sensation-estimation-action feedback loop to converge on optimal policies.