计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (10): 68-72.DOI: 10.3778/j.issn.1002-8331.1601-0449

• 大数据与云计算 • 上一篇    下一篇

云存储中一种动态模糊多关键字检索方案

刘正皓,董晓梅,冯健飞,张昊岩   

  1. 东北大学 计算机科学与工程学院,沈阳 110004
  • 出版日期:2017-05-15 发布日期:2017-05-31

Privacy protected security cloud storage system

LIU Zhenghao, DONG Xiaomei, FENG Jianfei, ZHANG Haoyan   

  1. School of Computer Science and Engineering, Northeastern University, Shenyang 110004, China
  • Online:2017-05-15 Published:2017-05-31

摘要: 随着云计算技术的迅速发展,云存储的数据安全和隐私保护问题受到了人们密切关注。为了保护用户的隐私数据,云端一般是以密文形式存储文件,给检索带来了不便。为了解决云环境中使用关键字查找密文文件的问题,有必要构建支持隐私保护的安全云存储系统。基于MRSE方案并引入了TF-IDF规则,给出了云环境下动态模糊多关键字排行搜索方案。并将第三方审计机制加入到系统当中,进行文件可持有性验证和密钥管理。

关键词: 云存储, 隐私, 安全, 排行搜索, 第三方审计

Abstract: With rapid development of cloud computing, security and privacy preservation of cloud storage are now attracting much more attention. In the cloud, data is always encrypted to preserve user privacy, which makes it difficult to retrieve data from the cloud. To solve the problem that using keywords to retrieve encrypted files, a privacy-preserving secure cloud storage system should be proposed. Hence this paper presents a dynamic fuzzy top-k ranking search scheme based on MRSE, as well as using TF-IDF to evaluate file correlation. Moreover, Third Party Auditing is involved in the system to verify file integrality and manage keys.

Key words: cloud storage, privacy, security, ranked search, third party auditing