Intrusion Detection in KDD99 Dataset using SVM-PSO and Feature Reduction with Information Gain

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Intrusion detection is a process of identifying the attacks in the networks. The main aim of IDS is to identify the normal and intrusive activities. In recent years, many researchers are using data mining techniques for building IDS. Due to the non-linearity and quantitative or qualitative network data traffic IDS is complicated. For making the IDS efficient the authors have to choose the key features. Support Vector Machine (SVM) gives the potential solution for IDS problem. SVM suffers by selecting the suitable SVM parameters.
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