Overview: Provides a detailed taxonomy of security tasks and related ML-based defenses.Uses case studies to illuminate instances in which ML-based defenses would have prevented or mitigated these attacks.DiscusThis book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks. The use of ML techniques for security tasks has been steadily increasing in
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