Network Anomaly Detection : a Machine Learning Perspective.

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bhattacharyya, Dhruba Kumar
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : CRC Press, 2013.
Temas:
Computer networks > Security measures.
Intrusion detection systems (Computer security)
Machine learning.
Réseaux d'ordinateurs > Sécurité > Mesures.
Systèmes de détection d'intrusion (Sécurité informatique)
Apprentissage automatique.
Computer networks > Security measures
Machine learning
Acceso en línea:Texto completo
Descripción
Sumario:With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents mach.
Descripción Física:1 online resource (364 pages)
ISBN:9781466582095
146658209X

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