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.
Security as a Service for Cloud-Enabled Internet of Controlled Things under Advanced Persistent Threats: A Contract Design Approach
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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.