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
Tabla de Contenidos:
  • Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Abstract; Authors; 1. Introduction; 2. Networks and Anomalies; 3. An Overview of Machine Learning Methods; 4. Detecting Anomalies in Network Data; 5. Feature Selection; 6. Approaches to Network Anomaly Detection; 7. Evaluation Methods; 8. Tools and Systems; 9. Open Issues, Challenges and Concluding Remarks; References.

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