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隐私保护密文检索技术研究进展

迟佳琳 冯登国 张敏 姜皞昊 吴阿新 孙天齐

迟佳琳, 冯登国, 张敏, 姜皞昊, 吴阿新, 孙天齐. 隐私保护密文检索技术研究进展[J]. 电子与信息学报. doi: 10.11999/JEIT231300
引用本文: 迟佳琳, 冯登国, 张敏, 姜皞昊, 吴阿新, 孙天齐. 隐私保护密文检索技术研究进展[J]. 电子与信息学报. doi: 10.11999/JEIT231300
CHI Jialin, FENG Dengguo, ZHANG Min, JIANG Haohao, WU Axin, SUN Tianqi. Advances in Privacy-Preserving Ciphertext Retrieval[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231300
Citation: CHI Jialin, FENG Dengguo, ZHANG Min, JIANG Haohao, WU Axin, SUN Tianqi. Advances in Privacy-Preserving Ciphertext Retrieval[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231300

隐私保护密文检索技术研究进展

doi: 10.11999/JEIT231300
基金项目: 国家重点研发计划(2022YFB4501500, 2022YFB4501503)
详细信息
    作者简介:

    迟佳琳:女,博士,助理研究员,研究方向为可搜索加密

    冯登国:男,中国科学院院士,研究员,研究方向为网络与信息安全

    张敏:女,博士,研究员,研究方向为数据安全与隐私保护

    姜皞昊:男,博士生,研究方向为同态加密技术

    吴阿新:男,博士后,研究方向为访问控制与可搜索加密

    孙天齐:男,博士生,研究方向为可搜索加密

    通讯作者:

    张敏 zhangmin@iscas.ac.cn

  • 中图分类号: TP393

Advances in Privacy-Preserving Ciphertext Retrieval

Funds: The National Key R&D Program of China (2022YFB4501500, 2022YFB4501503)
  • 摘要: 密文检索技术旨在提供密态数据查询服务,提高密文数据的可用性。但目前大多数机制仍存在不同程度的额外信息泄露,容易被攻击者捕获用于恢复明文信息与查询条件。如何强化密文检索中的隐私保护特性,实现信息泄露最小化已成为研究者关注的重点目标。近年来,随着硬件芯片技术与新型密码技术的快速发展,隐私保护密文检索研究方面涌现出了一批新成果,该文主要围绕多样化密文检索、基于可信执行环境的密文检索、隐匿信息检索等研究热点展开阐述,并总结了未来发展趋势。
  • 图  1  可搜索加密系统部署图

    图  2  基于Voronoi图的安全K近邻查询方案[45]示意图

    图  3  基于聚类的安全近似K近邻查询方案[47]示意图

    图  4  基于LSH的安全近似最近邻查询方案[48]示意图

    图  5  半盲化R树索引结构示意图

    图  6  基于SGX的可搜索加密架构示意图

    图  7  基于SGX的布尔检索方案[71]示意图

    图  8  3种典型的基于SGX平台的密文数据库体系结构

    图  9  EnclaveDB[80]架构示意图

    图  10  StealthDB架构与查询处理流程示意图

    图  11  基于同态加密的cPIR基本框架

    图  12  OnionPIR的基本框架(以数据库表示为3维为例)

    图  13  标量版本的Regev加密和矩阵版本的Regev加密对比

    图  14  SimplePIR方案[94]示意图

    图  15  Keyword PIR协议高层框架示意图

    图  16  Pantheon[98]步骤示意图

    图  17  基于DPF的2-服务器PIR协议示意图

    表  1  PIR技术比较

    安全性假设查询尺寸响应尺寸计算量
    XPIR[88]基于Ring-LWE困难性假设$ O\left(\sqrt[d]{n}\right) $$ O\left({F}^{d-1}\right) $$ O\left(n\right) $
    SealPIR[90]基于Ring-LWE困难性假设$ O(\sqrt[d]{n}/N) $$ O\left({F}^{d-1}\right) $
    OnionPIR[92]基于Ring-LWE困难性假设$ O(\sqrt[d]{n}/N) $$ O\left(1\right) $
    SimplePIR[94]基于LWE困难性假设$ O\left(\sqrt{n}\right) $$ O\left(\sqrt{n}\right) $
    FrodoPIR[95]基于LWE困难性假设$ O\left(n\right) $$ O\left(1\right) $
    PIANO PIR[96]统计安全$ O\left(\sqrt{n}\right) $$ O\left(1\right) $$ O\left(\sqrt{n}\right) $
    下载: 导出CSV
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  • 收稿日期:  2023-11-24
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