Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
Journal Home Volume Issue |
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Issue |
Volume-6, Issue-5 ( May, 2018 ) | |||||||||
Paper Title |
Intrusion Detection Using Surrogate Model on Tag3p | |||||||||
Author Name |
Van Canh Vu, Tuan Hao Hoang | |||||||||
Affilition |
Le Quy Don technical University, Ha Noi, Vietnam | |||||||||
Pages |
45-52 | |||||||||
Abstract |
Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. In this paper, a rule evolution approach using Surrogate model on Tree Adjoining Grammar Guided Genetic Programming (SuTAG3P) for generating new rules. A testing dataset proposed by DARPA is used to evaluate these new rules. The proof of concept implementation shows that a rule generated by SuTAG3P has a low false positive rate (FPR), a low false negative rate and a high true positive rate of detecting attacks. Index Terms— attack detection; intrusion detection system; tag3p, genetic programming, surrogate model. | |||||||||
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