On the Effectiveness of Continuous-Time Mixes under Flow-Correlation Based Anonymity Attacks

Ye Zhu, Xinwen Fu, R. Bettati
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引用次数: 2

Abstract

In flow-based mix networks, so-called flow correlation attacks have been proposed earlier and have been shown empirically to seriously degrade mix-based anonymous communication systems. In this paper, we theoretically analyze the effectiveness of a mix network under flow correlation attacks. Our formulae clearly show how a mix network will ultimately fail when an adversary has access to sufficiently long flow samples, independently of the type of flows (TCP or UDP). We illustrate the analysis methodology by modeling a continuous-time mix, which randomly delays each incoming packet. Our queuing-model-based analysis captures the essence of flow correlation attacks and can provide useful guidelines for designers who develop and deploy anonymity systems
基于流量关联的匿名攻击下连续时间混合的有效性研究
在基于流量的混合网络中,所谓的流量相关攻击已经被提出,并且已经被经验证明严重降低了基于流量的匿名通信系统。本文从理论上分析了混合网络在流量相关攻击下的有效性。我们的公式清楚地表明,当攻击者能够获得足够长的流量样本时,无论流量类型(TCP或UDP)如何,混合网络最终都会失败。我们通过建模连续时间混合来说明分析方法,该混合随机延迟每个传入数据包。我们基于排队模型的分析抓住了流关联攻击的本质,可以为开发和部署匿名系统的设计人员提供有用的指导
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