文章基本信息

标题：A Solution for Privacy-Preserving Data Manipulation and Query on NoSQL Database
本地全文：下载
作者：Guo, Yubin ; Zhang, Liankuan ; Lin, Fengren 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2013
卷号：8
期号：6
页码：1427-1432
DOI：10.4304/jcp.8.6.1427-1432
语种：English
出版社：Academy Publisher
摘要：Privacy of data owners and query users is vital in modern clouding data management. Many researches have been done on cloud security, but most of them are focused on the privacy of data owners or of query users separately. How to protect the privacy of the data owners and users simultaneously is a great challenge. In this paper, a solution of data storage and query protocol based on classical homomorphic encryption scheme is given to preserve privacy of both data owners and query users. Our main efforts are put on NoSQL database which is less structural than relational database. Storage and indexing structure on NoSQL database, query protocol are proposed, and algorithms for updating and querying are also given. To implement our solution, Berkley DB, an excellent storage solution for NoSQL database is chosen and data are encrypted/decrypted using Elgamal and Paillier encryption system, using basic Java package. Experiments are done under different parameters in order to achieve better efficiency.
关键词：NoSQL;cloud data management;privacy preserving