Network anomaly detection: a machine learning perspective

Content Provider	CRC Press eBooks
Author	Bhattacharyya, Dhruba K. Kalita, Jugal Kumar
Copyright Year	2014
Abstract	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.
File Format	PDF
ISBN	9781466582095
Language	English
Access Restriction	Subscribed
Subject Keyword	Computer networks Security measures Intrusion detection systems (Computer security) Machine learning
Content Type	Text
Resource Type	Book