A novel intrusion detection system based on hierarchical clustering and support vector machines

Volume: 38, Issue: 1, Pages: 306 - 313
Published: Jan 1, 2011
Abstract
This study proposed an SVM-based intrusion detection system, which combines a hierarchical clustering algorithm, a simple feature selection procedure, and the SVM technique. The hierarchical clustering algorithm provided the SVM with fewer, abstracted, and higher-qualified training instances that are derived from the KDD Cup 1999 training set. It was able to greatly shorten the training time, but also improve the performance of resultant SVM....
Paper Details
Title
A novel intrusion detection system based on hierarchical clustering and support vector machines
Published Date
Jan 1, 2011
Volume
38
Issue
1
Pages
306 - 313
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