Mingle Intrusion Detection System Using Fuzzy Logic
Prabhdeep Kaur1, Sheveta Vashisht2
1Prabhdeep Kaur, Research Scholar, Done M. Sc GNDU, Amritsar. Lovely Professional University, Phagwara, Punjab, India.
2Sheveta Vashisht, Assistant Professor in Department Of CSE, Lovely Professional University, Phagwara, Punjab, India.
Manuscript received on January 24, 2013. | Revised Manuscript received on February 11, 2013. | Manuscript published on February 28, 2013. | PP: 188-190 | Volume-2 Issue-3, February 2013.  | Retrieval Number: C1046022313 /2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Intrusion detection system must be proficient of known and unknown vulner-abilities. In order to obtain superior accuracy an appropriate dataset should be there to detect the known and unknown attacks. In this research work new approach will be proposed which will utilize fuzzy if-then rules to detect known and unknown attacks i.e. sequential multilevel misuse along fuzzy if-then rules. In order to evaluate the performance of proposed algorithm and KDD’99 data set will be used. As fuzzy if-then rules comes up with overheads so overhead will be evaluated in this research work.
Keywords: KDD’99 dataset, Known and Unknown attacks, Misuse and Anomaly Detection.