9781394206452 - reinforcement learning for cyber operations: applications of artificial intelligence for penetration testing di rahman, abdul, ph.d.; redino, christopher, ph.d.; nandakumar, dhruv; cody, tyler, ph.d.; shetty, sachin, ph.d. (18 risultati)
Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
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Da: Bay State Book Company, North Smithfield, RI, U.S.A.Bay State Book Company
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Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Reinforcement Learning for Cyber Operations : Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Shetty, Sachin; Nandakumar, Dhruv; Cody, Tyler
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In English.
Reinforcement Learning for Cyber Operations : Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Shetty, Sachin; Nandakumar, Dhruv; Cody, Tyler
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Reinforcement Learning for Cyber Operations : Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Shetty, Sachin; Nandakumar, Dhruv; Cody, Tyler
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
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Reinforcement Learning for Cyber Operations : Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Shetty, Sachin; Nandakumar, Dhruv; Cody, Tyler
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
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- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2024. 1st Edition. hardcover. . . . . .
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Da: moluna, Greven, Germaniamoluna
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Condizione: New.
Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Neuware - A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and prac…tical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization's cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You'll also find: - A thorough introduction to modeling actions within post-exploitation cybersecurity events, including Markov Decision Processes employing warm-up phases and penalty scaling - Comprehensive explorations of penetration testing automation, including how RL is trained and tested over a standard attack graph construct - Practical discussions of both red and blue team objectives in their efforts to exploit and defend networks, respectively - Complete treatment of how reinforcement learning can be applied to real-world cybersecurity operational scenarios Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers.
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- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 304 pages. 6.00x0.69x9.00 inches. In Stock. This item is printed on demand.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 124,56
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Hardcover. Condizione: new. Hardcover. A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive an…d practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organizations cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. Youll also find: A thorough introduction to modeling actions within post-exploitation cybersecurity events, including Markov Decision Processes employing warm-up phases and penalty scalingComprehensive explorations of penetration testing automation, including how RL is trained and tested over a standard attack graph constructPractical discussions of both red and blue team objectives in their efforts to exploit and defend networks, respectivelyComplete treatment of how reinforcement learning can be applied to real-world cybersecurity operational scenarios Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Rahman, Abdul; Redino, Christopher; Nandakumar, Dhruv; Cody, Tyler; Shetty, Sachin; Radke, Dan
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 200,78
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Condizione: New. PRINT ON DEMAND.
