[PDF.17ug] Network Anomaly Detection: A Machine Learning Perspective

Network Anomaly Detection: A Machine Learning Perspective

[PDF.cm22] Network Anomaly Detection: A Machine Learning Perspective

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 | #1263154 in Books |  2013-06-18 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.49 | File type: PDF | 366 pages

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||About the Author||Dhruba Kumar Bhattacharyya is a professor in computer science and engineering at Tezpur University. Professor Bhattacharyya's research areas include network security, data mining, and bioinformatics. He has published more than

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 de...

You can specify the type of files you want, for your device.Network Anomaly Detection: A Machine Learning Perspective   |  Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita. A good, fresh read, highly recommended.

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