Dimension Reduction in Intrusion Detection Features Using Discriminative Machine Learning Approach

Provided by: International Journal of Computer Science Issues
Topic: Data Management
Format: PDF
With the growing need of internet in daily life and the dependence on the world wide system of computer networks, the network security is becoming a necessary requirement of the authors' world to secure the confidential information available on the networks. Efficient intrusion detection is needed as a defense of the network system to detect the attacks over the network. Using feature selection, they reduce the dimensions of NSL-KDD data set. By feature reduction and machine learning approach, they are able to build Intrusion detection model to find attacks on system and improve the intrusion detection using the captured data.

Find By Topic