Suppr超能文献

改进“基于隐私保护属性-关键词的云平台数据发布-订阅服务”的证明。

Improving the proof of "Privacy-preserving attribute-keyword based data publish-subscribe service on cloud platforms".

机构信息

School of Science, Xi'an University of Technology, Xi'an, Shaanxi, China.

School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China.

出版信息

PLoS One. 2019 Feb 25;14(2):e0212761. doi: 10.1371/journal.pone.0212761. eCollection 2019.

Abstract

Most recently, Kan Yang et al. proposed an attribute-keyword based encryption scheme for data publish-subscribe service(AKPS), which is highly useful for cloud storage scenario. Unfortunately, we discover that there is a flaw in the security proof of indistinguishability of the tag and trapdoor against chosen keyword attack under the Bilinear Diffie-Hellman (BDH) assumption. As the security proof is a key component for a cryptographic scheme, based on the Decisional Diffie-Hellman (DDH) assumption, we improve the security proof method and give a new security proof of the AKPS scheme for indistinguishability of the tag and trapdoor in our proposal, which is more rigorous than the original one. Furthermore, we also demonstrate that the AKPS scheme is secure against data Replayable Chosen Ciphertext Attack (RCCA).

摘要

最近,Kan Yang 等人提出了一种基于属性-关键字的加密方案用于数据发布-订阅服务(AKPS),这在云存储场景中非常有用。不幸的是,我们发现,在双线性 Diffie-Hellman(BDH)假设下,标签和陷门的不可区分性的安全证明存在缺陷。由于安全证明是密码方案的关键组成部分,因此,基于判定 Diffie-Hellman(DDH)假设,我们改进了安全证明方法,并为我们的提议中的 AKPS 方案提供了标签和陷门的不可区分性的新的安全证明,这比原始证明更加严格。此外,我们还证明了 AKPS 方案可以抵御数据可重放选择密文攻击(RCCA)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2486/6388936/1ef8ac62deab/pone.0212761.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验