摘要
在混合云数据共享中,用户量大,属性多,导致用户端的计算量随着属性数目的增多而增大,影响着群用户之间的云数据共享效率,并且还存在用户的身份隐私及相关属性容易被泄露的风险。针对这些问题进行研究,提出了一种适合混合云环境下安全高效的群数据共享方法。该方法通过使用匿名技术、属性隐藏和计算外包技术相结合,保障用户的身份隐私和属性的安全,降低用户端的计算量。安全性与性能分析和实验结果表明,该方法具有较好的安全性和效率。
In hybrid cloud data sharing,the amount of users and the attributes are large. As a result,the calculation amount of the client increases with the number of attributes,which affects the cloud data sharing efficiency among group users. And there is also a risk of leaking users’ identity privacy and related attributes. To solve these problems,this paper proposed a secure and efficient group data sharing method in hybrid cloud environment. The method combined the use of anonymous technology,attribute-hiding and computational outsourcing technology to ensure the security of the user’s identity privacy and attributes,and reduced the amount of calculations at the user end. Security and performance analysis,and the experimental results show the method has better safety and efficiency.
作者
梁有懿
凌捷
柳毅
赖琦
Liang Youyi;Ling Jie;Liu Yi;Lai Qi(Faculty of Computer,Guangdong University of Technology,Guangzhou 510006,China)
出处
《计算机应用研究》
CSCD
北大核心
2020年第9期2789-2792,2810,共5页
Application Research of Computers
基金
广东省重点领域研发计划项目(2019B010139002)
广州市科技计划资助项目(201902020006,201902020007,201902010034)。
关键词
混合云
身份隐私
数据共享
匿名技术
属性隐藏
计算外包
hybrid cloud
identity privacy
data sharing
anonymous technology
attribute-hiding
computing outsourcing