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:
JETIR2206348


Registration ID:
320075

Page Number

d371-d373

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Title

Risk Based Authentication Using Machine Learning Algorithm KNN For Classification

Authors

Abstract

Risk based authentication is an approach to authenticate user based on risk score assigned to used based on previous authentication history. It is adaptive authentication in which based on risk score user is asked for additional authentication steps, if risk score is low, user will be allowed to login frictionless. The purpose of this study is to classify users based on risk in authentication as HIGH/LOW risk using K nearest neighbour algorithm and check the accuracy results of the KNN algorithm for the risk based authentication classification of genuine vs fraud login attempt.

Key Words

Risk Based Authentication, KNN

Cite This Article

"Risk Based Authentication Using Machine Learning Algorithm KNN For Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d371-d373, June-2022, Available :http://www.jetir.org/papers/JETIR2206348.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

"Risk Based Authentication Using Machine Learning Algorithm KNN For Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd371-d373, June-2022, Available at : http://www.jetir.org/papers/JETIR2206348.pdf

Publication Details

Published Paper ID: JETIR2206348
Registration ID: 320075
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: d371-d373
Country: Kolhapur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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