通过域间信任转移增强弱身份

Giridhari Venkatadri, Oana Goga, Changtao Zhong, Bimal Viswanath, K. Gummadi, Nishanth R. Sastry
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引用次数: 18

摘要

在大多数当前的网站上,不可信或垃圾身份很容易创建。现有的检测不可信身份的建议依赖于通过观察单个站点或域内随时间变化的身份活动而获得的声誉信号;因此,存在一个时间滞后,在此之前网站无法轻易区分攻击者和合法用户。在本文中,我们研究了利用跨多个域聚合的身份信息来推断其可信度的可行性。我们的关键见解是,虽然诚实的用户自然会跨多个域维护身份(他们已经证明了自己的可信度,并随着时间的推移获得了声誉),但攻击者会因额外的努力和成本而感到沮丧。我们提出了一个灵活的框架来在域之间传输信任,可以在今天的系统中实现,而不会造成重大的隐私损失或重大的实现开销。我们使用从Pinterest、Facebook和Twitter收集的大量数据来展示域间信任评估的潜力。我们的研究结果表明,像Pinterest这样的新域名可以通过从更成熟的域名(如Facebook和Twitter)转移信任而受益,因为它能够更早地宣布更多的用户可能是值得信赖的。一年前)。
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Strengthening Weak Identities Through Inter-Domain Trust Transfer
On most current websites untrustworthy or spammy identities are easily created. Existing proposals to detect untrustworthy identities rely on reputation signals obtained by observing the activities of identities over time within a single site or domain; thus, there is a time lag before which websites cannot easily distinguish attackers and legitimate users. In this paper, we investigate the feasibility of leveraging information about identities that is aggregated across multiple domains to reason about their trustworthiness. Our key insight is that while honest users naturally maintain identities across multiple domains (where they have proven their trustworthiness and have acquired reputation over time), attackers are discouraged by the additional effort and costs to do the same. We propose a flexible framework to transfer trust between domains that can be implemented in today's systems without significant loss of privacy or significant implementation overheads. We demonstrate the potential for inter-domain trust assessment using extensive data collected from Pinterest, Facebook, and Twitter. Our results show that newer domains such as Pinterest can benefit by transferring trust from more established domains such as Facebook and Twitter by being able to declare more users as likely to be trustworthy much earlier on (approx. one year earlier).
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