Intrusion Detection and Network Security

The proliferation of communication and data networks across the world has also seen the rise of increasingly sophisticated attacks on these networks. This title demonstrates methods based on statistical models and multivariate classifiers to detect anomalous conditions within networks.

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The proliferation of communication and data networks across the world has also seen the rise of increasingly sophisticated attacks on these networks. Network security is an ongoing process, since new attacks crop up just as quickly as new countermeasures and security architectures. Taking a proactive approach, "Intrusion Detection and Network Security: A Statistical Anomaly Approach" demonstrates methods based on statistical models and multivariate classifiers to detect anomalous conditions within networks. The author demonstrates systems that operate automatically, adaptively, and proactively at a level suited to practicing IT professionals and managers, researchers, and graduate students.