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Adversarial Deep Reinforcement Learning in Cyberspace: Characterizing AI Enabled Threat Patterns to Inform Defensive Strategies for U.S. Critical Infrastructure and Financial Systems

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Descrizione (1)

Pagine: 402, Copertina flessibile, Independently published

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Specifiche del prodotto

Marchio	Independently Published
EAN	9798255500819

Springer

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CYBERSECURITY ENGINEERING FOR CRITICAL INFRASTRUCTURE: Threat modeling defense strategies and resilient system design

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