Improving the Intrusion Detection Using Discriminative Machine Learning Approach and Improve the Time Complexity by Data Mining Feature Selection Methods

Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
As the dependence of daily life is increasing on Internet technology, the attacks on the systems, servers are also rapidly increasing. The motives of attacks are to steal the confidential data from the systems or making the system unavailable to the authorized users. An effective approach is required to detect the intrusions to provide the defence to the Networks. First the authors applied the feature selection to reduce the dimensions of NSL-KDD data set. By feature reduction and machine learning approach they able to build Intrusion detection model to find attacks on system and improve the intrusion detection using the captured data.

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