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This 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...
Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the...
This book focuses on the combined cyber and physical security issues in advanced electric smart grids. Existing standards are compared with classical results and the security and privacy principles of current practice are illustrated. The book paints a way for future...
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