UGC Approved Journal no 63975(19)

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

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2109003


Registration ID:
314423

Page Number

a7-a15

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Title

Improved and Dynamic Distance Measure Algorithm to detect the Fake and Clone Social Networking Accounts

Abstract

Social media is a fast growing field in present days and more data is generating day by day. Social media is a platform for users to communicate with each other from anywhere in the world. Millions of new people are joining in the social media platforms. Online social media sites (OSMS) such as Face book, Twitter are used by the users to store and share their personal information. With the generation of huge data everyday many fake users are creating fake or cloned profiles to damage the social networking platforms with these profiles. Fake or cloned profiles are detected based on the set of rules that can classify fake or genuine profiles. Many existing approaches are used to find the fake profiles such as C4.5 and Cloned detection indexes. With these systems there is a lack of accuracy in result analysis. To overcome this we have proposed a new approach called as Linear Support Vector Machine (SVM) which is a dynamic and improved approach to find the fake profiles in OSMS. To improve the performance of fake profile detection, a robust preprocessing is integrated to the Linear SVM. The dataset is collected from the kaggle website which consists of 5000 fake profiles. Results show the performance of proposed system.

Key Words

C4.5, Fake and Clone profiles, Linear SVM, Online Social Media Sites(OSMS).

Cite This Article

"Improved and Dynamic Distance Measure Algorithm to detect the Fake and Clone Social Networking Accounts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.a7-a15, September-2021, Available :http://www.jetir.org/papers/JETIR2109003.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

"Improved and Dynamic Distance Measure Algorithm to detect the Fake and Clone Social Networking Accounts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppa7-a15, September-2021, Available at : http://www.jetir.org/papers/JETIR2109003.pdf

Publication Details

Published Paper ID: JETIR2109003
Registration ID: 314423
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier):
Page No: a7-a15
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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