Paper Title :Intrusion Detection Using Surrogate Model on Tag3p

Author :Van Canh Vu, Tuan Hao Hoang

Article Citation :Van Canh Vu ,Tuan Hao Hoang , (2018 ) " Intrusion Detection Using Surrogate Model on Tag3p " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 45-52, Volume-6, Issue-5

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.

Type : Research paper

Published : Volume-6, Issue-5

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