摘要
通过对同态加密技术的研究与分析,针对目前云存储面临的数据安全问题,提出了一个改进后的整数同态加密算法,并且结合改进后的同态加密算法和基于TF-IDF的向量空间模型技术,提出了一个改进后的基于向量空间模型的同态密文检索方案,以此尽可能的解决云端密文数据检索的时延和低效问题。
Based on the research and analysis of homomorphic encryption technology,aiming at the data security problems faced by cloud storage,an improved integer homomorphic encryption algorithm is proposed to solve the data security problems faced by cloud storage at present.Combined with the improved homomorphic encryption algorithm and the vector space model technology based on TF-IDF,an improved homomorphic ciphertext retrieval scheme based on vector space model is proposed in order to solve the problem of delay and inefficiency in cloud ciphertext data retrieval as far as possible.
作者
宗峰
ZONG Feng(School of Information Engineering,Shandong Yingcai University,Jinan,Shandong,250104,China)
出处
《山东英才学院学报》
2019年第1期59-64,共6页
Journal of Shandong Yingcai University
基金
全国统计科学研究项目“异构大数据共享平台自身安全关键问题研究”(2018LY61)
山东英才学院校级科研重点课题“基于同态加密的云存储安全问题研究”(17YCZDZR05)
关键词
云存储
同态加密
网络安全
HADOOP
Cloud storage
Homomorphic encryption
Network security
Hadoop