a machine learning perspective Bhattacharyya, Dhruba K. creator author. Kalita, Jugal Kumar author text bibliography Electronic books. flu 2014 2014 monographic eng application/PDF 1 online resource : text file, PD "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"-- 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 Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita. Includes bibliographical references (pages 295-336) and index Also available in print format Computer networks Security measures Intrusion detection systems (Computer security Machine learning 9781466582095 (ebook : PDF) http://marc.crcnetbase.com/isbn/9781466582095 http://marc.crcnetbase.com/isbn/9781466582095 FlBoTFG 131227 20171224123324.0 CAH0KE22797PDF eng