Abstract

With large increase of internet users network security is important issues in today era. As variety of users have different requirement, so proper identification of safe network is required. This paper focuses on the network intrusion detection using SVM and neural network. Here SVM classify network behavior into two class first is safe and other is unsafe. Once unsafe network is identified then trained neural network identified attack type of the input sessions. Experiment is done on real dataset and obtained results are better than previous works on different parameters.

Authors and Affiliations