On the Security of a Proxy-free Privacy-preserving Task Matching with Efficient Revocation

Jianhong Zhang, Zian Yan, Zhaorui Deng, Haoting Han, Jing Cao, Zhengtao Jiang
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Abstract

Task matching is an important part to realize task assignment in crowdsourcing computing. However, privacy of tasks and workers is usually ignored in most of exiting task matching schemes. To solve this issue, recently, Shu et al. proposed a privacy-preserving task matching with efficient revocation in Crowdsourcing (IEEE Transactions on Dependable and Secure Computing DOI 10.1109/TDSC.2018.2875682) to ensure privacy protection of tasks and workers and achieve the worker revocation. Their scheme had claimed to be selective IND-CKA secure, and realized efficient revocation of the worker. Unfortunately, in this work, by analyzing the security of Shu et al. scheme, we show that their scheme is insecure. It cannot really provide IND-CKA security and realize the revocation of the worker. This is to say, their scheme does not satisfy the confidentiality of keyword since an adversary can distinguish the ciphertexts of arbitrary keywords without trapdoor information. Finally, after the corresponding attacks are given, we analyze the reason to produce such attacks.
基于有效撤销的无代理隐私保护任务的安全性研究
任务匹配是众包计算中实现任务分配的重要环节。然而,在现有的大多数任务匹配方案中,任务和工作者的隐私性往往被忽略。为了解决这一问题,最近Shu等人提出了一种Crowdsourcing中具有高效撤销的隐私保护任务匹配(IEEE Transactions on reliable and Secure Computing DOI 10.1109/TDSC.2018.2875682),以确保任务和工作人员的隐私保护,实现工作人员的撤销。他们的方案声称是选择性IND-CKA安全的,并实现了工人的有效撤销。不幸的是,在这项工作中,通过分析Shu等人方案的安全性,我们表明他们的方案是不安全的。它不能真正提供IND-CKA安全性和实现工作者的撤销。也就是说,他们的方案不满足关键字的机密性,因为攻击者可以在没有陷阱门信息的情况下区分任意关键字的密文。最后,在给出了相应的攻击后,分析了产生这些攻击的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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