摘要
针对云环境中密文在数据库检索的效率问题,提出了一种基于Paillier公钥算法的低频分词索引方案.首先利用Paillier分词选取出每段权重最低的低频分词并进行Paillier处理,将Paillier处理后的结果作为密文检索的索引,然后利用Paillier配对算法对整段明文进行加密,最后部署在数据库中进行效率测试.测试结果表明该方案能有效地提高密文在数据库中的检索效率.
Aiming at the efficiency of ciphertext retrieval in database in cloud environment,a low frequency word segmentation scheme based on public key algorithm is proposed.First,the low-frequency segmentation with the lowest weight of each segment is selected and processed by word segmentation,and the result is used as the index of ciphertext retrieval.Then,the matching algorithm is used to encrypt the whole plaintext.Finally,it is deployed in the database for efficiency test.The test results show that the scheme can effectively improve the retrieval efficiency of ciphertext in database.
作者
廖祥宇
郑明辉
朱小强
LIAO Xiangyu;ZHENG Minghui;ZHU Xiaoqiang(School of Information and Engineering,Hubei Minzu University,Enshi 445000,China)
出处
《湖北民族大学学报(自然科学版)》
CAS
2020年第4期408-410,共3页
Journal of Hubei Minzu University:Natural Science Edition
基金
国家自然科学基金项目(61772181)
湖北省创新群体项目(2016CFA021).