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Books > Computing & IT > Computer communications & networking
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Game Theory and Machine Learning for Cyber Security (Hardcover)
Loot Price: R3,231
Discovery Miles 32 310
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Game Theory and Machine Learning for Cyber Security (Hardcover)
Expected to ship within 12 - 17 working days
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GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the
foundations of machine learning and game theory in cyber security
to the latest research in this cutting-edge field In Game Theory
and Machine Learning for Cyber Security, a team of expert security
researchers delivers a collection of central research contributions
from both machine learning and game theory applicable to
cybersecurity. The distinguished editors have included resources
that address open research questions in game theory and machine
learning applied to cyber security systems and examine the
strengths and limitations of current game theoretic models for
cyber security. Readers will explore the vulnerabilities of
traditional machine learning algorithms and how they can be
mitigated in an adversarial machine learning approach. The book
offers a comprehensive suite of solutions to a broad range of
technical issues in applying game theory and machine learning to
solve cyber security challenges. Beginning with an introduction to
foundational concepts in game theory, machine learning, cyber
security, and cyber deception, the editors provide readers with
resources that discuss the latest in hypergames, behavioral game
theory, adversarial machine learning, generative adversarial
networks, and multi-agent reinforcement learning. Readers will also
enjoy: A thorough introduction to game theory for cyber deception,
including scalable algorithms for identifying stealthy attackers in
a game theoretic framework, honeypot allocation over attack graphs,
and behavioral games for cyber deception An exploration of game
theory for cyber security, including actionable game-theoretic
adversarial intervention detection against advanced persistent
threats Practical discussions of adversarial machine learning for
cyber security, including adversarial machine learning in 5G
security and machine learning-driven fault injection in
cyber-physical systems In-depth examinations of generative models
for cyber security Perfect for researchers, students, and experts
in the fields of computer science and engineering, Game Theory and
Machine Learning for Cyber Security is also an indispensable
resource for industry professionals, military personnel,
researchers, faculty, and students with an interest in cyber
security.
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