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010 a| 2013014913;

020 a| 9781466582088 (hardback : acid-free paper);

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050 00 a| TK5105.59b| .B474 2014;

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084 a| COM037000a| COM053000a| COM0830002| bisacsh;

100 1 a| Bhattacharyya, Dhruba K.?| UNAUTHORIZED;

245 10 a| Network anomaly detectionh| [electronic resource] :b| a machine learning perspective /c| Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita.;

260 a| Boca Raton :b| CRC Press, Taylor & Francis Group,c| [2014];

300 a| xxv, 340 pages ;c| 24 cm;

504 a| Includes bibliographical references (pages 295-336) and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Computer networksx| Security measures.=| ^A388828;

650 0 a| Intrusion detection systems (Computer security)=| ^A1037231;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Anomaly detection (Computer security)?| UNAUTHORIZED;

650 7 a| COMPUTERS / Machine Theory2| bisacsh.;

650 7 a| COMPUTERS / Security / General2| bisacsh.;

650 7 a| COMPUTERS / Security / Cryptography2| bisacsh.;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1316406;

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

Author/creator	Bhattacharyya, Dhruba K.
Format	Electronic
Publication Info	Boca Raton : CRC Press, Taylor & Francis Group, [2014]
Description	xxv, 340 pages ; 24 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Computer networks--Security measures. Intrusion detection systems (Computer security) Machine learning. Anomaly detection (Computer security)

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"-- Provided by publisher.
Bibliography note	Includes bibliographical references (pages 295-336) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2013014913
ISBN	9781466582088 (hardback : acid-free paper)

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

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