Intrusion Detection System Using Decision Tree Algorithm
Manish Kumar1,2M.Hanumanthappa3T.V.Suresh Kumar1
1. Dept.of Master of Computer Applications,M.S.Ramaiah Institute of Technology2. Research Scholar,Department of Computers Science and Applications,Bangalore University3. Dept.of Computer Science and Applications,Jnana Bharathi Campus,Bangalore University
摘要：Intrusion Detection System （IDS） is the most powerful system that can handle the intrusions of the computer environments by triggering alerts to make the analysts take actions to stop this intrusion.IDS’s are based on the belief that an intruder’s behavior will be noticeably different from that of a legitimate user.A variety of intrusion detection systems （IDS） have been employed for protecting computers and networks from malicious attacks by using traditional statistical methods to new data mining approaches in last decades.However,today’s commercially available intrusion detection systems are signature- based that are not capable of detecting unknown attacks.In this paper we analyze a classification model for misuse and anomaly attack detection using decision tree algorithm.
2012 IEEE 14th International Conference on Communication Technology