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 machine learning techniques in depth to help you more effectively detect and counter network intrusion. 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. Dhruba kumar bhattacharyya jugal kumar kalita network anomaly detection a machine learning perspective crc press boca raton london new york washington dc. Detection amachinelearning perspective dhrubakumarbhattacharyya jugalkumarkakta c crcpress 63 anomalydetection usingsupervised learning 193 network anomaly detection a machine learning perspective subject boca raton fla ua crc press 2014 . The book also provides material for hands on development so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system it offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems
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