02331cam a2200385Ii 4500 CAH0KE22797PDF FlBoTFG 20171224123324.0 m|||||o||d|||||||| cr|||| 131227t20142014fluad ob 001 0 eng d 9781466582095 (ebook : PDF) FlBoTFG eng FlBoTFG rda TK5105.59 .B474 2014 005.8 B575 Bhattacharyya, Dhruba K., author. Network anomaly detection : a machine learning perspective / Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita. Boca Raton : CRC Press, [2014] �201 1 online resource : text file, PD text rdaconten computer rdamedi online resource rdacarrie Includes bibliographical references (pages 295-336) and index 1. Introduction -- 2. Networks and anomalies -- 3. An overview of machine learning methods -- 4. Detecting anomalies in network data -- 5. Feature selection -- 6. Approaches to network anomaly detection -- 7. Evaluation methods -- 8. Tools and systems -- 9. Open issues, challenges and concluding remarks "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 Also available in print format Computer networks Security measures Intrusion detection systems (Computer security Machine learning Electronic books. lcs Kalita, Jugal Kumar, author Print version: 9781466582088 (hardback : acid-free paper http://marc.crcnetbase.com/isbn/9781466582095 application/PDF Distributed by publisher. Purchase or institutional license may be required for access 14693 14693