Wrapper Approach for IDS Using Fuzzy Genetic Algorithm
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2015, Vol 2, Issue 3
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
Authors and Affiliations
Pooja U. Chavan
Keywords
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