UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905C84


Registration ID:
209975

Page Number

574-578

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Title

A Review on Artificial Intelligence Methods For Cyber Intrusion Detection

Abstract

This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection.Based on the number of citations or the relevance of an emerging method, papers representing each method were identified, read, and summarized. The discussion of challenges for using ML/DM for cyber security is presented, and some recommendations on when to use a given method are provided.

Key Words

Cyber analytics, data mining, machine learning.

Cite This Article

"A Review on Artificial Intelligence Methods For Cyber Intrusion Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.574-578, May-2019, Available :http://www.jetir.org/papers/JETIR1905C84.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 Review on Artificial Intelligence Methods For Cyber Intrusion Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp574-578, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C84.pdf

Publication Details

Published Paper ID: JETIR1905C84
Registration ID: 209975
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 574-578
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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