基于BTM主题模型的对称可搜索加密方案

为了实现基于语义的密文检索, 提高密文检索的准确率和效率, 本文提出了一种基于biterm主题模型(biterm topic model, BTM)的多关键词可排序对称可搜索加密方案(BTM-MRSE). 通过主题模型对关键词和文档之间的潜在语义进行建模, 用户利用查询关键词的概率分布作为检索陷门, 根据查询关键词与文档之间的语义相关性得分来获得最相关的文档. 本方案将密文检索中的特定关键词替换为基于语义的主题, 实现了关键词和文档标识符的分离, 从而增强了文档关键词与查询关键词的隐私保护. 为了减小索引规模, 我们提出两层索引结构, 利用平衡二叉树构造关键词-主题安全索引, 结合倒排索引构造...

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Published inJournal of Cryptologic Research Vol. 9; no. 1; p. 88
Main Authors Yu-Jie, XUE, Lan-Xiang, CHEN, MU, Yi, 薛玉洁, 陈兰香, 穆怡
Format Journal Article
LanguageChinese
Published Beijing Chinese Association for Cryptologic Research, Journal of Cryptologic Research 01.01.2022
Subjects
Algorithms
Documents
Efficiency
Encryption
Keywords
Retrieval
Semantics
Online AccessGet full text
ISSN2097-4116
DOI10.13868/j.cnki.jcr.000505

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Abstract 为了实现基于语义的密文检索, 提高密文检索的准确率和效率, 本文提出了一种基于biterm主题模型(biterm topic model, BTM)的多关键词可排序对称可搜索加密方案(BTM-MRSE). 通过主题模型对关键词和文档之间的潜在语义进行建模, 用户利用查询关键词的概率分布作为检索陷门, 根据查询关键词与文档之间的语义相关性得分来获得最相关的文档. 本方案将密文检索中的特定关键词替换为基于语义的主题, 实现了关键词和文档标识符的分离, 从而增强了文档关键词与查询关键词的隐私保护. 为了减小索引规模, 我们提出两层索引结构, 利用平衡二叉树构造关键词-主题安全索引, 结合倒排索引构造主题-文档安全索引. 一方面, 主题模型减小了索引节点中向量的维数, 从而提高了检索效率, 同时基于平衡二叉树的二级索引机制也进一步改善了密文检索效率. 安全性分析证明了所提方案是安全有效的, 同时利用真实数据集进行实验对比, 表明本方案的密文检索准确率和效率都有极大提升.
AbstractList 为了实现基于语义的密文检索, 提高密文检索的准确率和效率, 本文提出了一种基于biterm主题模型(biterm topic model, BTM)的多关键词可排序对称可搜索加密方案(BTM-MRSE). 通过主题模型对关键词和文档之间的潜在语义进行建模, 用户利用查询关键词的概率分布作为检索陷门, 根据查询关键词与文档之间的语义相关性得分来获得最相关的文档. 本方案将密文检索中的特定关键词替换为基于语义的主题, 实现了关键词和文档标识符的分离, 从而增强了文档关键词与查询关键词的隐私保护. 为了减小索引规模, 我们提出两层索引结构, 利用平衡二叉树构造关键词-主题安全索引, 结合倒排索引构造主题-文档安全索引. 一方面, 主题模型减小了索引节点中向量的维数, 从而提高了检索效率, 同时基于平衡二叉树的二级索引机制也进一步改善了密文检索效率. 安全性分析证明了所提方案是安全有效的, 同时利用真实数据集进行实验对比, 表明本方案的密文检索准确率和效率都有极大提升.
Author 薛玉洁
Yu-Jie, XUE
MU, Yi
穆怡
Lan-Xiang, CHEN
陈兰香
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StartPage 88
SubjectTerms Algorithms
Documents
Efficiency
Encryption
Keywords
Retrieval
Semantics
Title 基于BTM主题模型的对称可搜索加密方案
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