ProGuard Detecting Malicious Accounts in Social-Network-Based Online Promotions
Online social networks (OSNs) gradually integrate nancial capabilities by enabling the usage of real and virtual currency. They serve as new platforms to host a variety of business activities, such as online promotion events, where users can possibly get virtual currency as rewards by participating in such events. Both OSNs and business partners are signicantly concerned when attackers instrument a set of accounts to collect virtual currency from these events, which make these events ineffective and result in a signifcant nancial loss. It becomes of great importance to proactively detecting these malicious accounts before the online promotion activities and subsequently decreases their priority to be rewarded. In this paper, we propose a novel system, namely ProGuard, to accomplish this objective by systematically integrating features that characterise accounts from three perspectives including their general behaviours, their recharging patterns, and the usage of their currency. We have performed extensive experiments based on data collected from the Tencent QQ, a global leading OSN with built-in nancial management activities. Experimental results have demonstrated that our system can accomplish a high detection rate of 96.67Percent at a very low false positive rate of 0.3Percent.
Online social networks, virtual currency, malicious accounts, intrusion detection, network security.