云环境下基于区块链的可验证搜索加密方案

Buzhen He, Tao Feng
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引用次数: 0

摘要

虽然将数据传输到云服务器使用户不必管理数据,但它最终会引发数据隐私等新问题。可搜索加密作为解决数据可访问性与数据隐私之间矛盾的一种手段,越来越受到人们的关注。由于大多数可搜索加密技术缺乏完整性和正确性身份验证,恶意云服务器可能会向用户提供错误的搜索结果。该研究基于公钥搜索加密(PEKS),提出了一种基于云环境下以太网区块链的可验证模糊关键字搜索的隐私保护方法,以克服上述安全问题。该方案利用以太区块链系统的不可篡改特性,使用户可以检查查询文档的准确性和完整性,防止云服务器给出错误的查询结果。此外,云服务器和数据用户之间实现了公平交易,即使用户或云是恶意的,也可以使用哈希函数和以太坊智能合约追踪到恶意用户。最后,安全性分析表明,在随机oracle模型下,我们的技术满足了自适应选择关键字的语义安全性。性能评估表明,该方案在计算效率方面优于其他相关方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Encryption Scheme of Verifiable Search Based on Blockchain in Cloud Environment
While transferring data to cloud servers frees users from having to manage it, it eventually raises new problems, such as data privacy. The concept of searchable encryption has drawn more and more focus in research as a means of resolving the tension between data accessibility and data privacy. Due to the lack of integrity and correctness authentication in most searchable encryption techniques, malicious cloud servers may deliver false search results to users. Based on public key encryption with searching (PEKS), the study suggests a privacy-preserving method for verifiable fuzzy keyword searches based on the Ethernet blockchain in a cloud context to overcome the aforementioned security concerns. The search user can check the accuracy and integrity of the query document using the unalterability characteristics of the Ethernet blockchain system in this scheme to prevent the cloud server from giving incorrect query results. Furthermore, a fair transaction between the cloud server and the data user is achieved and can be tracked back to the malicious user using hash functions and Ethereum smart contracts, even if the user or the cloud is malicious. Finally, the security analysis shows that, under the random oracle model, our technique fulfils the adaptive selection keyword’s semantic security. The performance assessment demonstrates that the proposed scheme outperforms other related schemes in terms of computational efficiency.
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