UGC Approved Journal no 63975(19)

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

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRE006057


Registration ID:
187684

Page Number

349-353

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Title

ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions

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Abstract

Online informal communities (OSNs) bit by bit coordinate money related capacities by empowering the utilization of genuine and virtual cash. They fill in as new stages to have an assortment of business exercises, for example, online advancement occasions, where clients can get virtual cash as prizes by partaking in such occasions. Both OSNs and business accomplices are fundamentally concerned when assailants instrument an arrangement of records to gather virtual cash from these occasions, which make these occasions incapable and result in significantfinancial misfortune. It is the fate of extraordinary significance to proactively identifying these malevolent records previously the online advancement exercises and in this manner diminishes their need to be compensated. In this paper, we propose a novel framework, to be specific ProGuard, to achieve this goal by deliberately incorporating highlights that portray accounts from three points of view including their general practices, their energizing examples, and the use of their money. We have performed broad investigations in light of information gathered from the Tencent QQ, a worldwide driving OSN with worked in money related administration exercises. Trial comes about have exhibited that our framework can achieve a high identification rate of 96.67% at a low false positive rate of 0.3%.

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"ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.349-353, September-2018, Available :http://www.jetir.org/papers/JETIRE006057.pdf

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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

"ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp349-353, September-2018, Available at : http://www.jetir.org/papers/JETIRE006057.pdf

Publication Details

Published Paper ID: JETIRE006057
Registration ID: 187684
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 349-353
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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