Wrapper Approach for IDS Using Fuzzy Genetic Algorithm
International Journal of Emerging Trends in Science and Technology,
Vol. 2 No. 03 (2015),
2 March 2015
Abstract
The intrusion detection systems (IDS) are becoming indispensable for effective protection against attacks that are constantly changing in magnitude and complexity. This paper proposes a fuzzy genetic algorithm (FGA) for intrusion detection. The FGA system is a fuzzy classifier, whose knowledge base is modeled as a fuzzy rule such as "if-then" and improved by a genetic algorithm. The method is tested on the benchmark KDD'99 intrusion dataset and compared with other existing techniques available in the literature. The results are encouraging and demonstrate the benefits of the proposed approach.
Keywords: classification,DARPA data set, fuzzy logic,genetic algorithm , intrusion detectionHow to Cite
Rutuja S. Choudhari, Vidya A. Gaikwad, P. U. C. P. K. C. (2015). Wrapper Approach for IDS Using Fuzzy Genetic Algorithm. International Journal of Emerging Trends in Science and Technology, 2(03). Retrieved from http://igmpublication.com/ijetst.in/index.php/ijetst/article/view/582
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References
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3. Mostaque Md. Morshedur Hassan LCB College, Maligaon, Guwahati, Assam, India.†CURRENT STUDIES ON INTRUSION DETECTION SYSTEM, GENETIC ALGORITHM AND FUZZY LOGICâ€International Journal of Distributed and Parallel Systems (IJDPS), Vol.4, No.2, 2013
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2. P.Jongsuebsuk+,N.Wattanapongsakorn+, C. Charnsripinyo* +Department of Computer EngineeringKing Mongkut’s University of Technology Thonburi, Bangkok, Thailand.†Real-Time Intrusion Detection with Fuzzy Genetic Algorithm†978-1-4799-0545-4/13/$31.00 ©2013 IEEE
3. Mostaque Md. Morshedur Hassan LCB College, Maligaon, Guwahati, Assam, India.†CURRENT STUDIES ON INTRUSION DETECTION SYSTEM, GENETIC ALGORITHM AND FUZZY LOGICâ€International Journal of Distributed and Parallel Systems (IJDPS), Vol.4, No.2, 2013
4. Ravi Prakash Reddy I, Ph.D Professor & Head in Department of IT GNITS ShaikPet Hyderabad. “A Literature Survey and Comprehensive Study of Intrusion Detectionâ€International Journal of Computer Applications (0975 – 8887) Volume 81 – No 16, November 2013.
5. Prof. P. B. Kumbharkar Research Scholar, JJT University, Rajasthan, India,†Intrusion Detection System with Supervised Learning Algorithmsâ€, Volume 4, Issue 4, April 2014 ISSN: 2277 128X.
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