Valkyrie:在无线网络中验证隐私条款的通用框架

Guillaume Celosia, M. Cunche
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引用次数: 1

摘要

集成在连接设备中的无线通信可以通过暴露链路层标识符(例如MAC地址)使其用户暴露于跟踪之下。为了应对这种威胁,有人提议用定期变化的随机假名取代这些永久标识符[17]。这种被称为地址随机化的做法已逐渐被供应商采用[28,36],甚至已被纳入无线标准[1,35]。然而,地址随机化的有效实现需要的不仅仅是周期性地旋转链路层标识符。事实上,一些研究[8,11,12,16,27,28,36]发现了地址随机化实现的问题,其中帧内计数器和标识符会破坏反跟踪措施。在本文中,我们解决了验证地址随机化实现正确性的问题。为此,我们介绍了一种基于捕获设备生成的流量来识别问题的方法。这种方法依赖于指定正确实现地址随机化要求的规则。然后,我们原型化Valkyrie(地址随机化实现中的地址链接能力验证),这是一个软件工具,基于一组规则,验证由设备生成的给定帧序列不会危及地址随机化方案。最后,我们在60个实现Wi-Fi和蓝牙低功耗(BLE)地址随机化的设备的帧捕获语料库上评估了该工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Valkyrie: a generic framework for verifying privacy provisions in wireless networks
Wireless communications integrated in connected devices can expose their users to tracking via the exposure of link layer identifiers (e.g. MAC addresses). To counter this threat, it has been proposed to replace those permanent identifiers with periodically changing random pseudonyms [17]. This practice, called address randomization has been progressively adopted by vendors [28, 36] and has even made its way to wireless standards [1, 35]. However, an effective implementation of address randomization requires more than periodically rotating the link layer identifier. Indeed, several works [8, 11, 12, 16, 27, 28, 36] identified issues with address randomization implementation, where in-frames counters and identifiers can undermine the anti-tracking measure. In this paper, we address the problem of verifying the correctness of an address randomization implementation. To this end, we introduce an approach to identify issues based on a capture of the traffic generated by a device. This approach relies on rules specifying requirements for a correct implementation of address randomization. Then, we prototype Valkyrie (Verification of Addresses LinKabilitY in address Randomization ImplemEntations), a software tool that, based on a set of rules, verifies that a given sequence of frames generated by a device does not compromise the address randomization scheme. Finally, we evaluate this tool on a corpus of frame captures corresponding to 60 devices implementing address randomization for Wi-Fi and Bluetooth Low Energy (BLE).
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