UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFM06029


Registration ID:
403734

Page Number

158-163

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Title

An Efficient System to detect network attacks in SDN Using SVM Algorithm

Abstract

In the appearance and tremendous progress of digital world has prompted more prominent difficulties over the security of information in an organization. SDN architecture, provides control layer, application layer & infrastructure layer, to controls the devices, this system detects malicious traffic, using Decision Tree and Support Vector Machine (SVM) which improves overall accuracy and has better rate of detection. The SDN authenticates to access the data from the entire network and to integrate various applications aids like load balancing and intrusion detection during periods of high traffic. If an anomaly is discovered, the application instructs the controller to repair it by modifying the data plane. Both the control and data planes run on routers spread throughout the network, with open interfaces that may be controlled by software.

Key Words

Software-Defined Networking, Decision Tree, Support Vector Machine, Intrusion Detection System

Cite This Article

" An Efficient System to detect network attacks in SDN Using SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.158-163, June-2022, Available :http://www.jetir.org/papers/JETIRFM06029.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

" An Efficient System to detect network attacks in SDN Using SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp158-163, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06029.pdf

Publication Details

Published Paper ID: JETIRFM06029
Registration ID: 403734
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 158-163
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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