Indian Journal of Science and Technology
DOI: 10.17485/ijst/2014/v7i6.19
Year: 2014, Volume: 7, Issue: 6, Pages: 781–789
Original Article
Chandrashekhar Azad* and Vijay Kumar Jha
Dept. of Information Technology, Birla Institute of Technology, Mesra, Ranchi, Jhrakhand, India; csazad@bitmesra.ac.in, vkjha@bitmesra.ac.in
An intrusion detection system is proposed using Decision Table/Naïve Bayes (DTNB). The Proposed system uses a hybrid classifier DTNB that is used to identify possible intrusions. The system is trained using a subset of the NSL KDD Cup dataset. The trained model is then tested using a subset of NSL KDD Cup dataset. The DTNB hybrid classifier is able to detect intrusion with a superior detection rate.
Keywords: Anomaly Detection, DTNB, IDS, Misuse Detection
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