DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-12109

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
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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