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• W3158093018 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%." @default.
• W3158093018 created "2021-05-10" @default.
• W3158093018 creator A5027532496 @default.
• W3158093018 date "2018-09-01" @default.
• W3158093018 modified "2023-09-26" @default.
• W3158093018 title "Detecting Malicious Accounts in Social Network Based Online Advertisements using ProGuard" @default.
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