1.北京教育科学研究院,北京 100036
2.北京信息科技大学计算机学院,北京 102206
[ "唐亮(1982- ),男,江苏宿迁人,北京教育科学研究院高级工程师,主要研究方向为教育数字化与网络安全、区块链、隐私计算。" ]
[ "马利民(1983- ),男,山东新泰人,北京信息科技大学副教授,主要研究方向为密码技术、区块链、隐私计算和数据安全。" ]
收稿:2025-02-05,
修回:2025-05-29,
纸质出版:2025-10-25
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唐亮, 马利民. 基于PIR增强的可搜索加密方案研究[J]. 网络与信息安全学报, 2025, 11(5): 115-125.
TANG L, MA L M. Research on searchable encryption scheme based on enhanced PIR[J]. Chinese Journal of Network and Information Security, 2025, 11(5): 115-125.
唐亮, 马利民. 基于PIR增强的可搜索加密方案研究[J]. 网络与信息安全学报, 2025, 11(5): 115-125. DOI: 10.11959/j.issn.2096-109x.2025054.
TANG L, MA L M. Research on searchable encryption scheme based on enhanced PIR[J]. Chinese Journal of Network and Information Security, 2025, 11(5): 115-125. DOI: 10.11959/j.issn.2096-109x.2025054.
采用可搜索加密技术对数据加密后再存储云服务器,虽能在一定程度上兼顾数据的安全性与可用性,但基于该技术的系统在访问模式或搜索模式层面存在泄露用户隐私的风险。针对这一问题,提出了一种隐私信息检索增强的可搜索加密方案。在方案预处理阶段,首先对数据库进行分区及预处理,同步完成陷门与关键字密文的计算,并存储分区相关信息。这一设计不仅能降低系统的计算开销与通信开销,还能提升后续查询效率。在实际查询流程中,服务器接收客户端的查询请求后,会先对陷门进行验证以实现精准的访问控制,再对经过同态加密的数据执行运算。从整体执行逻辑来看,攻击者无法通过系统交互过程推断出用户查询的具体内容,从而有效解决了访问模式泄露问题;同时,服务器无法建立陷门、关键字密文与查询内容之间的关联关系,有效避免了搜索模式泄露。实验结果表明,当数据量持续增长时,该方案的计算开销优势逐渐凸显。与传统隐私信息检索技术相比,所提方案的查询时间减少了约80%。
Data was encrypted with searchable encryption technology before being uploaded to the cloud
which could
to a certain extent
balance data security and usability. However
systems based on this technology were found to carry the risk of exposing user privacy at the access or search pattern level. To address this issue
an enhanced searchable encryption scheme for privacy information retrieval was proposed. In the preprocessing stage of the scheme
the database was first partitioned and preprocessed. The trapdoor and keyword ciphertext were calculated simultaneously
and partition-related information was stored. This design was shown to not only reduce the computational and communication costs of the system but also improve subsequent query efficiency. In the actual query process
after the query request from the client was received by the server
the trapdoor was verified to achieve precise access control. Then
operations were performed on the data that had undergone homomorphic encryption. From the overall execution logic
the specific content of the user’s query could not be inferred by attackers through the system interaction process
thus effectively solving the problem of access pattern leakage. Simultaneously
the association relationship between the trapdoor
keyword ciphertext
and the query content could not be established by the server
effectively avoiding search pattern leakage. Experimental results show that as the data volume continues to increase
the computational cost advantage of this scheme becomes increasingly prominent. Compared with traditional privacy information retrieval protocols
the query time is reduced by approximately 80% in the proposed scheme.
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