Threats to networks are numerous and potentially devastating. Intrusion detection is one of core technologies of computer security. Most of the existing IDs (Intrusion Detection systems) use all features in the network packet to look for known intrusive patterns, some of these features are irrelevant or redundant. A well-defined feature extraction algorithm makes the classification process more effective and efficient. This book approaches Linear Discriminant Analysis (LDA) with Back Propagation to address the problem of identifying important features in building an ID system, increase the...