在基于web的应用程序中保护隐私的流量填充

Wen Ming Liu, Lingyu Wang, Pengsu Cheng, M. Debbabi
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引用次数: 7

摘要

虽然基于web的应用程序越来越受欢迎,但它们也带来了新的安全挑战。特别是,Chen等人最近发现,许多流行的Web应用程序实际上由于利用数据包大小和定时的侧信道攻击而从加密流量中泄露了高度敏感的数据[1]。他们进一步证明,现有的解决方案通常会产生很高的开销,同时仍然不能保证隐私保护。在本文中,我们观察到这个问题与另一个研究得很好的问题——隐私保护数据发布(PPDP)之间有着惊人的相似之处。基于这种相似性,我们提出了一个包含隐私需求、填充成本和填充方法的保护隐私流量填充(PPTP)的形式化模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-preserving traffic padding in web-based applications
While web-based applications are gaining popularity, they also pose new security challenges. In particular, Chen et al. recently revealed that many popular Web applications actually leak out highly sensitive data from encrypted traffic due to side-channel attacks using packet sizes and timing [1]. They further demonstrated that existing solutions usually incur a high overhead while still not guaranteeing privacy protection. In this paper, we observe a striking similarity between this issue and another well studied problem, privacy-preserving data publishing (PPDP). Based on such a similarity, we propose a formal model for privacy-preserving traffic padding (PPTP) that encompasses privacy requirement, padding cost, and padding methods.
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