利用有限集理论改进可搜索加密的文件注入攻击

IF 1.5 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Journal Pub Date : 2020-10-01 DOI:10.1093/comjnl/bxaa161
Gaoli Wang;Zhenfu Cao;Xiaolei Dong
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引用次数: 4

摘要

可搜索加密(SE)允许云服务器对加密数据进行搜索,并尽可能少地泄露信息。大多数现有的高效SE方案都假设搜索模式和访问模式的泄漏是可以接受的。提出了一系列工作,指示恶意用户利用这种泄漏来进行攻击。特别是,在张等人提出的毁灭性攻击中,云服务器可以通过使用一些注入的文件来揭示普通用户查询的关键词。根据Cao提出的构造有限集$a$的一致$(k,n)$-集的方法,我们提出了一种新的文件注入攻击。在我们的攻击中,当$T$的大小大于9并且关键字集的大小大于$2T$时,服务器需要的注入文件比以前的攻击更少,其中$T$是每个注入文件中关键字数量的阈值。我们的攻击更实用,在真实场景中更容易实现。
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Improved File-injection Attacks on Searchable Encryption Using Finite Set Theory
Searchable encryption (SE) allows the cloud server to search over the encrypted data and leak information as little as possible. Most existing efficient SE schemes assume that the leakage of search pattern and access pattern is acceptable. A series of work was proposed, instructing malicious users to use this leakage to come up with attacks. Especially, with a devastating attack proposed by Zhang et al., the cloud server can reveal the keywords queried by normal users by using some injected files. From the method of constructing uniform $(k,n)$ -set of a finite set $A$ proposed by Cao, we put forward a new file-injection attack. In our attack, the server needs fewer injected files than the previous attack when the size of $T$ is larger than 9 and the size of keyword set is larger than $2T$ , where $T$ is the threshold of the number of keywords in each injected file. Our attack is more practical and easier to implement in the real scenario.
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来源期刊
Computer Journal
Computer Journal 工程技术-计算机:软件工程
CiteScore
3.60
自引率
7.10%
发文量
164
审稿时长
4.8 months
期刊介绍: The Computer Journal is one of the longest-established journals serving all branches of the academic computer science community. It is currently published in four sections.
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