Yu S.P., Tsai P.J.J. Machine Learning in Cyber Trust: Security, Privacy, and Reliability

Boston, MA : Springer-Verlag US, 2009. — 367 p. — ISBN: 978-0-387-88735-7.Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems turns out to be a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.
This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the security, privacy, and reliability issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state of the practice in this important area, and giving a classification of existing work.