Comparison of Two Multi-Classification Approaches for Detecting Network Attacks
Arul Raj Kumaravel · 2013
Extensive growth of the internet and increasingavailability of tools and tricks for intruding and attackingnetworks, have prompted intrusion detection to become acritical component of network administration. It is animportant attribute of defensive measure protecting computersystem and network traffic from abuses. In this paper we demonstrated thathigh attack detection accuracy can be achieved by usingclassificationtechniques and high performance is attained by the multi-classificationapproach. To test the results, we have used NSL-KDD datasets.We compared our proposed system with previous method which is lightly classified and tried to find which is more accurateand appropriate to detect intrusion.