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:
JETIRE006035


Registration ID:
187659

Page Number

209-214

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Title

Detecting Malicious Accounts in Social Network Based Online Advertisements using ProGuard

Abstract

Now a day's Online Social Networks(OSN) plays an important role that integrate financial capabilities by enabling the usage of real and virtual currency. OSN serves as great platforms to host a large variety of business activities such as online advertisements, where users can possibly get virtual currency as rewards by participating in such events. Both OSN and business organizations are highly concerned when attackers uses a set of accounts to collect virtual currency from these events, which make these events unsuccessful and leads to financial loss and OSN reputation is also damaged. It becomes a great importance to proactively detecting these malicious accounts before the online promotion activities and eventually decrease their main concern to be satisfied. In this paper, a novel system is proposed, namely ProGuard. ProGuard employs a collection of general behaviors, recharging patterns, and the usage of currency of the participants. ProGuard is evaluated using data collected from Tencent QQ, a Chinese online social network that uses virtual currency i.e., Q coin to support financial activities on online social networks. Experimental results have analyzed that ProGuard can accomplish a high detection rate of 96.67% at a very low false positive rate of 0.3%.

Key Words

Online Social Networks(OSN's), Virtual Currency, Malicious Accounts, Detection, ProGuard

Cite This Article

"Detecting Malicious Accounts in Social Network Based Online Advertisements using ProGuard", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.209-214, September-2018, Available :http://www.jetir.org/papers/JETIRE006035.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

"Detecting Malicious Accounts in Social Network Based Online Advertisements using ProGuard", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp209-214, September-2018, Available at : http://www.jetir.org/papers/JETIRE006035.pdf

Publication Details

Published Paper ID: JETIRE006035
Registration ID: 187659
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 209-214
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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