我们能信任社交媒体数据吗?物联网僵尸网络的社交网络操纵

Masarah Paquet-Clouston, Olivier Bilodeau, D. Décary‐Hétu
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引用次数: 13

摘要

社交媒体账户的受众规模——以粉丝或朋友数量为标准——被认为是衡量其影响力和受欢迎程度的一个很好的指标。为了在网络社交网络(OSN)上快速获得人工人气,人们可以从社交媒体欺诈(SMF)服务中购买喜欢、关注和观看。SMF是指在Facebook、Twitter、YouTube、Instagram等OSN平台上产生的点赞、关注和观看量。本文采用计算机科学与社会科学相结合的研究方法,对SMF的非法市场进行了更深入的了解。它对SMF进行了市场价格分析,描述了供应商(执行SMF的物联网(IoT)僵尸网络)的操作,并提供了此类欺诈的潜在客户概况。该论文解释了物联网僵尸网络如何进行社交网络操纵,并说明了欺诈行为是由OSN用户驱动的,主要是演艺人员、小型在线商店和私人用户。它还说明,暂停虚假账户的OSN策略只能在欺诈发生后清理网络,并不能阻止犯罪(僵尸网络)或欺诈(SMF)的发生。提出了几种防止欺诈的解决方案。
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Can We Trust Social Media Data? Social Network Manipulation by an IoT Botnet
The size of a social media account's audience -- in terms of followers or friends count -- is believed to be a good measure of its influence and popularity. To gain quick artificial popularity on online social networks (OSN), one can buy likes, follows and views, from social media fraud (SMF) services. SMF is the generation of likes, follows and views on OSN such as Facebook, Twitter, YouTube, and Instagram. Using a research method that combines computer sciences and social sciences, this paper provides a deeper understanding of the illicit market for SMF. It conducts a market price analysis for SMF, describes the operations of a supplier -- an Internet of things (IoT) botnet performing SMF -- and provides a profile of the potential customers of such fraud. The paper explains how an IoT botnet conducts social network manipulation and illustrates that the fraud is driven by OSN users, mainly entertainers, small online shops and private users. It also illustrates that OSN strategy to suspend fake accounts only cleans the networks a posteriori of the fraud and does not deter the crime -- the botnet -- or the fraud -- SMF -- from happening. Several solutions to deter the fraud are provided.
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