UGC Approved Journal no 63975(19)

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

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFV06001


Registration ID:
510517

Page Number

1-6

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Title

PREDICTION OF FAKE INSTAGRAM PROFILES USING MACHINE LEARNING

Abstract

The majority of people now use social networking sites as part of their everyday lives. Every day, a vast number of people build profiles on social networking sites and connect with others, regardless of their place or time. False identities play an important role in advanced persisted threats and are also involved in other malicious activities. Users of social networking sites not only profit from them, but they also face security concerns about their personal details. To assess who is promoting threats in social networks, we must first identify the user’s social network profiles. It is necessary to differentiate between genuine and fake accounts on social media based on the classification.Detecting fake accounts on social media has historically focused on a number of classification methods. However, it is possible to boost the accuracy of fake profile identification in social media. Machine learning and technology is used in the proposed work to increase the percentage of fake profile prediction. In feature selection model chi-square algorithm is applied and choose best data. In classification method the various machine learning algorithms are implemented, the algorithms are Logistic Regression and Random Forest algorithm. The classification result based on accuracy, precision, recall, f1-score, sensitivity and specificity.

Key Words

PREDICTION OF FAKE INSTAGRAM PROFILES USING MACHINE LEARNING

Cite This Article

"PREDICTION OF FAKE INSTAGRAM PROFILES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.1-6, March-2023, Available :http://www.jetir.org/papers/JETIRFV06001.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

"PREDICTION OF FAKE INSTAGRAM PROFILES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp1-6, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06001.pdf

Publication Details

Published Paper ID: JETIRFV06001
Registration ID: 510517
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: 1-6
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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