计算机科学
加密
大方坯过滤器
云计算
数据挖掘
同态加密
正确性
倒排索引
模糊逻辑
可验证秘密共享
近似字符串匹配
散列函数
搜索引擎索引
情报检索
数据库
算法
人工智能
计算机安全
集合(抽象数据类型)
模式匹配
程序设计语言
操作系统
作者
Xinghua Li,Qiuyun Tong,Jinwei Zhao,Yinbin Miao,Siqi Ma,Jian Weng,Jianfeng Ma,Kim‐Kwang Raymond Choo
出处
期刊:IEEE Transactions on Services Computing
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-1
被引量:4
标识
DOI:10.1109/tsc.2021.3140092
摘要
Searchable encryption(SE) allows users to efficiently retrieve data over encrypted cloud data, but most existing SE schemes only support exact keyword search, resulting in false results due to minor typos or format inconsistencies of queried keywords. The fuzzy keyword search can avoid this limitation, but still incurs low search accuracy and efficiency. Besides, most of fuzzy keyword search schemes do not consider malicious cloud servers which may execute a fraction of search operations or forge some results due to various interest incentives such as saving computation or storage resources. To solve these problems, we propose an efficient and Verifiable Ranked Fuzzy Multi-keyword Search scheme, called VRFMS. VRFMS uses locality-sensitive hashing and bloom filter to implement fuzzy keyword search, and employs Term Frequency-Inverse Document Frequency(TF-IDF) to sort the relevant results. Aiming to further improve the search accuracy, we design an improved bi-gram keyword transformation method. Furthermore, the homomorphic MAC technique and a random challenge technique are utilized to verify the correctness and completeness of returned results, respectively. Formal security analysis and empirical experiments demonstrate that VRFMS is secure and efficient in practical applications, respectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI