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

By: Contributor(s): Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Boca Raton, Fla. [u.a.] : CRC Press, 2014Description: XXV, 340 S. : Ill., graf. Darst. ; 24 cmISBN:
  • 9781466582095
  • 9781466582088
Subject(s): Additional physical formats: Online-Ausg.: Network anomaly detection. Online-Ausg. Boca Raton : CRC Press, 2013. Online-Ressource (xxv, 336 p.)DDC classification:
  • 005.8
  • COM037000 COM053000 COM083000
RVK: RVK: ST 276LOC classification:
  • TK5105.59
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"--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"--Call number: Grundsignatur: 2013 A 4996PPN: PPN: 1605686220
Holdings
Item type Home library Collection Shelving location Call number Status Barcode
Freihandbestand ausleihbar Bibliothek Campus Süd inf 2.57 Lesesaal Wirtschaftswissenschaften und Informatik (LSW) 2013 A 4996 Available 51547581090
Total holds: 0
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