用于人际攻击的各种爬虫

Kevin A. Roundy, Paula Barmaimon Mendelberg, Nicola Dell, Damon McCoy, Daniel N. Nissani, T. Ristenpart, Acar Tamersoy
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引用次数: 27

摘要

科技日益促进人际攻击,如跟踪、虐待和其他形式的骚扰。虽然之前的研究已经调查了为跟踪而设计的软件生态系统,但还存在一个未经研究的、更大范围的应用程序——我们称之为creepware——用于人际攻击。在本文中,我们通过访问一个详细介绍安装在5000多万台Android设备上的移动应用程序的数据集,启动了一项关于creepware的研究。我们开发了一种新的算法,CreepRank,它使用联想内疚的原则来帮助发现以前未知的爬行器例子,然后我们通过定量和定性方法的结合来描述这些例子。我们发现了用于骚扰、冒充、欺诈、信息盗窃、隐瞒的应用程序,甚至还有声称保护受害者免受此类威胁的应用程序。由于我们的努力,Google Play商店已经删除了数百个违反政策的应用程序。更广泛地说,我们的发现和技术提高了对爬行软件生态系统的理解,并将为未来旨在减轻人际攻击的努力提供信息。
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The Many Kinds of Creepware Used for Interpersonal Attacks
Technology increasingly facilitates interpersonal attacks such as stalking, abuse, and other forms of harassment. While prior studies have examined the ecosystem of software designed for stalking, there exists an unstudied, larger landscape of apps—what we call creepware—used for interpersonal attacks. In this paper, we initiate a study of creepware using access to a dataset detailing the mobile apps installed on over 50 million Android devices. We develop a new algorithm, CreepRank, that uses the principle of guilt by association to help surface previously unknown examples of creepware, which we then characterize through a combination of quantitative and qualitative methods. We discovered apps used for harassment, impersonation, fraud, information theft, concealment, and even apps that purport to defend victims against such threats. As a result of our work, the Google Play Store has already removed hundreds of apps for policy violations. More broadly, our findings and techniques improve understanding of the creepware ecosystem, and will inform future efforts that aim to mitigate interpersonal attacks.
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