UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106637


Registration ID:
310650

Page Number

e564-e574

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Title

DETECTION OF FAKE PROFILES USING MACHINE LEARNING

Authors

Abstract

Fake profiles in modern era are cause of concern in almost every field of life. Credit card, money laundering and bank fake profiles are common and technology has to play important part in overcoming this issue. This paper provides insight into financial fake profiles leading from malicious users in trading network. To this end several techniques are researched over. To start with price based fake profile detection is discussed and then similarity matrix, linear binary patterns, support vector machine and random forest in the field of fake profile detection are elaborated. This paper highlights pros and cons of each of such techniques. Dataset required determining classification accuracy of these approaches is synthetically driven. Execution time while determining fake profiles is critical entity and similarity matrix approach is fast and accurate as compared to random forest, support vector and linear binary patterns.

Key Words

Financial Fake profiles, LBP, RF, SM, classification accuracy, execution time

Cite This Article

"DETECTION OF FAKE PROFILES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.e564-e574, June-2021, Available :http://www.jetir.org/papers/JETIR2106637.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

"DETECTION OF FAKE PROFILES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppe564-e574, June-2021, Available at : http://www.jetir.org/papers/JETIR2106637.pdf

Publication Details

Published Paper ID: JETIR2106637
Registration ID: 310650
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: e564-e574
Country: Jammu, JAMMU & KASHMIR, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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