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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 detection##plugins.themes.academic_pro.article.details##
How 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 https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/582
References
1. Shingo Mabu, Member, IEEE, Ci Chen, Nannan Lu, Kaoru Shimada,and Kotaro Hirasawa, Member, IEEE†An Intrusion-Detection Model Based on Fuzzy Class- Association-Rule Mining Using Genetic Network Programming†TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 41, NO. 1, JANUARY 2011.
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.
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.