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Network anomaly detection : a machine learning perspective / Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita.

By: Bhattacharyya, Dhruba K Material type: Text

TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2014]Description: xxv, 340 pages ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781466582088 (hardback : acidfree paper)Subject(s): Computer networks -- Security measures | Intrusion detection systems (Computer security) | Machine learning | COMPUTERS / Machine Theory | COMPUTERS / Security / General | COMPUTERS / Security / CryptographyDDC classification: 005.8 BHA LOC classification: TK5105.59 | .B474 2014Other classification: COM037000 | COM053000 | COM083000 Summary: "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.

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Item type	Current location	Home library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Book	Central Library (CL)	Central Library (CL)	NFIC	First Floor - Artificial Intelligence/Data Mining	005.8 BHA (Browse shelf)	Available		SEECS013756

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Previous	005.8 BAS CCSP Cisco secure PIX Firewall advanced exam certification guide	005.8 BEN Implementing database security and auditing	005.8 BEN Implementing database security and auditing	005.8 BHA Network anomaly detection :	005.8 BIR Special Ops : host and network security for Microsoft, UNIX, and Oracle	005.8 BIS Computer security : art and science	005.8 BIS Computer security : art and science	Next

Includes bibliographical references (pages 295-336) and index.

"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.

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