Network Anomaly Detection: A Machine Learning Perspective

Network Anomaly Detection: A Machine Learning Perspective

Author
Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita
Publisher
Chapman and Hall/CRC
Language
English
Edition
1
Year
2013
Page
366
ISBN
978-1-4665-8209-5,978-1-4665-8208-8
File Type
pdf
File Size
3.6 MiB

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 behavi

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