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《山东大学学报(理学版)》 ›› 2023, Vol. 58 ›› Issue (9): 28-38.doi: 10.6040/j.issn.1671-9352.0.2022.471

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支持通配符和模糊搜索的加密方案

赵博1,2(),秦静1,3,*(),刘晋璐1   

  1. 1. 山东大学数学学院，山东 济南 250100
    2. 华控清交信息科技有限公司安全与芯片部门，北京 100093
    3. 中国科学院信息工程研究所信息安全国家重点实验室，北京 100093
  • 收稿日期:2022-09-03 出版日期:2023-09-20 发布日期:2023-09-08
  • 通讯作者: 秦静 E-mail:zhaobomath@163.com;qinjing@sdu.edu.cn
  • 作者简介:赵博(1997—)，男，硕士研究生, 研究方向为可搜索加密.E-mail: zhaobomath@163.com
  • 基金资助:
    国家自然科学基金资助项目(62072276);国家自然科学基金资助项目(61772311)

An encryption scheme supporting wildcard and fuzzy search

Bo ZHAO1,2(),Jing QIN1,3,*(),Jinlu LIU1   

  1. 1. School of Mathematics, Shandong University, Jinan 250100, Shandong, China
    2. Chip and Security Department, Hua Kong Qing Jiao Information Technology Co., Ltd., Beijing 100093, China
    3. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
  • Received:2022-09-03 Online:2023-09-20 Published:2023-09-08
  • Contact: Jing QIN E-mail:zhaobomath@163.com;qinjing@sdu.edu.cn

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摘要：

基于n-gram技术，提出了一个能够同时支持通配符和模糊搜索的加密方案。另外，利用布隆过滤器优化方案，减少了索引存储开销和搜索时间。安全性分析表明本文提出的方案是非适应性语义安全的，性能分析表明优化后的方案与已有方案相比在存储、通信及陷门生成方面都有更小的开销。

关键词: 通配符搜索, 模糊搜索, 关键词特征, 向量空间模型, 布隆过滤器

Abstract:

Based on n-gram technology, this paper proposes an encryption scheme that can support both wildcard and fuzzy search. In addition, using the Bloom filter optimization scheme, it reduces the index storage overhead and search time. The given security analysis shows that the scheme is non-adaptive semantic security. The performance analysis shows that the optimized scheme has less overhead in storage, communication and trapdoor generation than the previous schemes.

Key words: wildcard search, fuzzy search, keyword feature, vector space model, Bloom filter

中图分类号: 

  • TP309

图1

支持通配符和模糊搜索的索引"

表1

复杂度分析"

对比项 文献[8] 文献[15] 文献[21] 方案1 方案2
索引存储开销 O(m) O(n) O(n) O(n) O(n)
索引生成时间 O(m) O(n) O(n) O(n) O(n)
陷门生成时间 O(1) O(1) O(n) O(1) O(1)
通信复杂度 O(1) O(1) O(n) O(1) O(1)
搜索时间 O(m) O(n) O(n) O(n) O(n)
支持模糊搜索 是 否 是 是 是
支持通配符搜索 否 是 是 是 是

图2

存储开销"

图3

索引生成时间"

图4

陷门生成时间"

图5

通信复杂度"

图6

搜索时间"

图7

搜索精度"

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