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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIRQ006033

Page Number

174-176

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Title

Efficient Machine Learning Techniques for Detection of Cyber Attacks

ISSN

2349-5162

Cite This Article

"Efficient Machine Learning Techniques for Detection of Cyber Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.174-176, December-2018, Available :http://www.jetir.org/papers/JETIRQ006033.pdf

Abstract

Technology is changing its trends rapidly and in this regard it is highly essential to build a system that detects and manipulates the cyber attacks because now a days there are various frauds that are occurring due to the cyber attacks and this is the time to build a protective measure over the cyber attacks. Cyber security being one of the major wings in any technological support it is essential to build a cyber path over the several domains that are going to take place now a days but this is the time to build a cyber path over the cyber attacks. Security onion is one of the tools that is joined to build cyber path over these attacks. This path illustrates a pathway towards the utilization of security onion. Which has certain features of machine learning that are inbuilt in it?

Key Words

Machine Learning, Cyber Security, Security Attacks, social networks, security tools

Cite This Article

"Efficient Machine Learning Techniques for Detection of Cyber Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp174-176, December-2018, Available at : http://www.jetir.org/papers/JETIRQ006033.pdf

Publication Details

Published Paper ID: JETIRQ006033
Registration ID: 193334
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 174-176
ISSN Number: 2349-5162

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Cite This Article

"Efficient Machine Learning Techniques for Detection of Cyber Attacks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp174-176, December-2018, Available at : http://www.jetir.org/papers/JETIRQ006033.pdf




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