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Published in:

Volume 4 Issue 5
May-2017
eISSN: 2349-5162

Unique Identifier

JETIR1705018

Page Number

79-82

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Title

Intrusion Detection System using Artificial Intelligence Technique-Genetic Algorithm

Abstract

Abstract—- With the fast growth of net in recent years, laptop systems face enlarged variety of security threats. Despite various technological innovations for info assurance, it's still terribly troublesome to shield laptop systems. Therefore, unwanted intrusions happen once the particular software package systems square measure running. Completely different soft computing primarily based approaches are planned to notice network attacks. This paper presents varied approaches to network intrusion detection like genetic algorithm (GA), associate increased deciding by rule-list i.e. fuzzy classifier and artificial neural network classifier primarily based approach to network intrusion detection. The project additionally shows the potency of algorithms in terms of your time for classification. These classification rules square measure accustomed notice networking attacks or intrusions. The planned system is applied on KDDCup99 Dataset to yield a lot of economical and effective classification rules.

Key Words

KDDCup99 Dataset, Genetic Algorithm (GA), Fuzzy Classifier, IDS, DOS Attack

Cite This Article

"Intrusion Detection System using Artificial Intelligence Technique-Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 5, page no.79-82, May-2017, Available :http://www.jetir.org/papers/JETIR1705018.pdf

Publication Details

Published Paper ID: JETIR1705018
Registration ID: 170312
Published In: Volume 4 | Issue 5 | Year May-2017
DOI (Digital Object Identifier):
ISSN Number: 2349-5162

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