UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDB06009


Registration ID:
221436

Page Number

58-62

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Title

A Novel Intrusion Detection System using Data Mining Techniques

Abstract

Intrusion detection systems (IDS) in MANET have to system blocks of packets with many features, which suspend the detecting of anomalies. Sampling and Feature Selection may be employed to depreciate computing time and hence diminishing the time of intrusion detection. A Novel Hybrid Feature Selection method mounts on Particle Swarm Optimization (PSO) and Information Gain analysis. The execution of the proposed Hybrid Feature Selection Method on KDD CUP dataset to decrease the volume of primary features and accurate by implementing better detection performance in the classification methods relating with other feature selectors. The relevant features and removing redundant features of KDD CUP dataset is Optimal Dataset. ANN with Multi-Layered Perceptron classification method was used to classify the nodes of MANET.

Key Words

Intrusion Detection System, Mobile Ad Hoc Network, Data Mining Technique, Artificial Neural Network, Naïve Bayes classification.

Cite This Article

"A Novel Intrusion Detection System using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.58-62, June 2019, Available :http://www.jetir.org/papers/JETIRDB06009.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Novel Intrusion Detection System using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp58-62, June 2019, Available at : http://www.jetir.org/papers/JETIRDB06009.pdf

Publication Details

Published Paper ID: JETIRDB06009
Registration ID: 221436
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 58-62
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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