International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 1248
No. of Authors : 3136
  Journal Paper

Paper Title
Intrusion Detection Using Surrogate Model on Tag3p

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.


Author - Van Canh Vu, Tuan Hao Hoang

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| Published on 2018-07-17
   
   
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