TY  - BOOK
AU  - Bhattacharyya,Dhruba K.
AU  - Kalita, Jugal Kumar,
TI  - Network anomaly detection: a machine learning perspective 
SN  - 9781466582095 (ebook : PDF)
PY  - 2014///]
CY  - Boca Raton
PB  - CRC Press
KW  - Computer networks
KW  - Security measures
KW  - Intrusion detection systems (Computer security
KW  - Machine learning
KW  - Electronic books
KW  - lcs
N1  - 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; Also available in print format
N2  - "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"--
UR  - http://marc.crcnetbase.com/isbn/9781466582095
ER  -