Andere Kunden interessierten sich auch für
![Data Mining Approach for Intrusion Detection System]( "Data Mining Approach for Intrusion Detection System")
Data Mining Approach for Intrusion Detection System26,99 €![Multilayer Artificial Immune Systems for Intrusion & Malware Detection]( "Multilayer Artificial Immune Systems for Intrusion & Malware Detection")
Multilayer Artificial Immune Systems for Intrusion & Malware Detection38,99 €![Requirement Engineering for Intrusion Tolerant Systems]( "Requirement Engineering for Intrusion Tolerant Systems")
Requirement Engineering for Intrusion Tolerant Systems32,99 €![Ortholog and Paralog Detection using Phylogentic Tree]( "Ortholog and Paralog Detection using Phylogentic Tree")
Ortholog and Paralog Detection using Phylogentic Tree23,99 €![Machine Learning Based Android Malware Detection]( "Machine Learning Based Android Malware Detection")
Machine Learning Based Android Malware Detection40,99 €![Adaptive Techniques for Brain Tumor Detection in MRI]( "Adaptive Techniques for Brain Tumor Detection in MRI")
Adaptive Techniques for Brain Tumor Detection in MRI64,99 €![Permission and Behavior Based Malware Detection of Android Apps]( "Permission and Behavior Based Malware Detection of Android Apps")
Permission and Behavior Based Malware Detection of Android Apps23,99 €
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 convergence speed and decrease the training time. This book offers you a detailed and practical analysis with a fresh approach. An improved dataset (NSL-KDD) and effective classification is used to build the system that gives better and robust representation as it is able to transform features resulting in great data reduction, time reduction and error reduction in detecting new attacks. The content of the book is especially useful to professionals, students and researchers working in the field of Network Security & Privacy.