具有有效更新的前向安全动态可搜索对称加密

Kee Sung Kim, Minkyu Kim, Dongsoo Lee, J. Park, Woo-Hwan Kim
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引用次数: 141

摘要

最近提出的文件注入型攻击凸显了前向安全在动态可搜索对称加密(DSSE)中的重要性。前向安全性通过隐藏与先前搜索查询匹配的新添加文件的信息来阻止这些攻击。然而,仍然只有少数DSSE方案提供前向安全性,并且它们具有阻碍效率的因素。特别是,所有这些方案都不支持实际的数据删除,这会增加存储空间和计算复杂性。本文从计算和通信的角度出发,设计并实现了一种具有最优搜索和更新复杂度的前向安全DSSE方案。作为起点,我们提出了一种新的、简单的、理论上的数据结构,称为双字典,它可以同时利用倒排索引和正向索引。这种数据结构允许显式和实时地删除数据,与以前的工作相比,大大提高了效率。此外,我们的方案通过使用与先前搜索令牌无关的新密钥加密新添加的数据来提供前向安全性。我们实现了安然电子邮件和维基百科数据集的方案,并测量了其性能。与Sophos的比较表明,我们的方案在实践中是非常高效的,无论是在动态环境下的搜索还是更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forward Secure Dynamic Searchable Symmetric Encryption with Efficient Updates
The recently proposed file-injection type attacks are highlighting the importance of forward security in dynamic searchable symmetric encryption (DSSE). Forward security enables to thwart those attacks by hiding the information about the newly added files matching a previous search query. However, there are still only a few DSSE schemes that provide forward security, and they have factors that hinder efficiency. In particular, all of these schemes do not support actual data deletion, which increments both storage space and computational complexity. In this paper, we design and implement a forward secure DSSE scheme with optimal search and update complexity, for both computation and communication point of view. As a starting point, we propose a new, simple, theoretical data structure, called dual dictionary that can take advantage of both the inverted and the forward indexes at the same time. This data structure allows to delete data explicitly and in real time, which greatly improves efficiency compared to previous works. In addition, our scheme provides forward security by encrypting the newly added data with fresh keys not related with the previous search tokens. We implemented our scheme for Enron email and Wikipedia datasets and measured its performance. The comparison with Sophos shows that our scheme is very efficient in practice, for both searches and updates in dynamic environments.
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