Network anomaly detection
Subtitle: a machine learning perspective
By: Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita
Publisher: CRC Press, Taylor & Francis Group
Published: 2014
Place of publication: Boca Raton
Language: eng
Number of pages: 340
ISBN-13: 9781466582088
Subjects: Computer networks; Security measures; Intrusion detection systems (Computer security); Machine learning; COMPUTERS / Machine Theory; COMPUTERS / Security / General; COMPUTERS / Security / Cryptography
Description: "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"--
Notes: Includes bibliographical references (pages 295-336) and index.