Network anomaly detection [electronic resource] : a machine learning perspective / Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita.
Material type:
TextPublication details: Boca Raton : CRC Press, 2014Description: xxv, 336 p. : illSubject(s): Computer networks -- Security measures | Intrusion detection systems (Computer security) | Machine learningGenre/Form: Electronic books.DDC classification: 005.8 LOC classification: TK5105.59 | .B474 2014Online resources: Click to View Summary: "This book discusses detection of anomalies in computer networks from a machine learning perspective. It introduces readers to how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. The reader will learn how one can look for patterns in captured network traffic data to look for anomalous patterns that may correspond to attempts at unauthorized intrusion. The reader will be given a technical and sophisticated description of such algorithms and their applications in the context of intrusion detection in networks"-- Provided by publisher.
Includes bibliographical references.
"This book discusses detection of anomalies in computer networks from a machine learning perspective. It introduces readers to how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. The reader will learn how one can look for patterns in captured network traffic data to look for anomalous patterns that may correspond to attempts at unauthorized intrusion. The reader will be given a technical and sophisticated description of such algorithms and their applications in the context of intrusion detection in networks"-- Provided by publisher.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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