计算机应用与软件2017，Vol.34Issue(3)：7-12,80,7.DOI:10.3969/j.issn.1000-386x.2017.03.002
云存储中基于二进制向量索引的密文云数据排序查询方法
ORDERED ENCRYPTED DATA SEARCHING METHOD BASED ON BINARY-VECTOR INDEX IN CLOUD STORAGE
摘要
Abstract
A ranking query method of ciphertext cloud data in cloud storage is designed.The basic idea is to build binary vector index, and use the Hash function to calculate the position of the vector in which is filled "1".This method makes it easy to establish the index vector, and is easier to build the query vector and update the data.Binary vector index is constructed by the user.When the user requests access to a file containing some keywords, the query binary vector is built by the query keywords and the keyword set.Then the inner product of the query vector and index vector is calculated to determine whether the file contains the queried keywords.According to the inner product, it is able to know that which files are more relevant to the query and have higher computational efficiency.The experiments show that the efficiency of index creation and query are very high.关键词
云存储/密文检索/二进制向量索引/排序查询Key words
Cloud storage/Ciphertext search/Binary-vector index/Ranked query分类
信息技术与安全科学引用本文复制引用
陈兰香,周书明..云存储中基于二进制向量索引的密文云数据排序查询方法[J].计算机应用与软件,2017,34(3):7-12,80,7.基金项目
国家自然科学基金面上项目(61572010) （61572010）
福建省自然科学基金项目(2015J01240) （2015J01240）
福建省教育厅科技项目(JK2014009) （JK2014009）
福州市科技计划项目(2014-G-80). （2014-G-80）
