1. 福建师范大学 机构 协和学院,福建,福州,350117
2. 南京大学 计算机软件新技术国家重点实验室 机构,江苏,南京,210023
纸质出版:2018
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李斌, 李启明. 云计算中数据存储安全的变色龙Hash认证树优化审计[J]. 微电子学与计算机, 2018, 35(6): 1-6.
LI Bin, Li Qi-ming. Chameleon Hash Authentication Tree Optimization Audit for Data Storage Security in Cloud Computing[J]. 2018, 35(6): 1-6.
为提高云计算中数据存储安全性
提出一种云计算中数据存储安全的变色龙Hash认证树优化审计方法.首先
提出了一种优化的公共审计协议.通过为TPA站点上的用户数据进行同态线性验证器存储
实现对云存储服务器(CSS)响应大小的优化.同时还利用准随机函数优化了对CSS的质询请求; 其次
使用变色龙散列和一个改进的变色龙认证树
在客户端数据(云计算)上执行高效的动态数据更新
支持块级更新和细粒度更新; 最后
通过彻底的安全性和性能分析
证明了所提方法是安全和高效的.
In order to improve the security of data storage in cloud computing
a chameleon Hash authentication tree optimized audit method for data storage security in cloud computing is proposed. Firstly
an optimized public audit protocol is proposed. The validator homomorphic linear stored as user data on the TPA site
the cloud storage server (CSS) the size of the optimal response. At the same time
the query request of CSS is optimized by using quasi random function; Secondly
using chameleon hashing and an improved chameleon authentication tree
efficient dynamic data updates are performed on the client data (cloud)
supporting block level updates and fine grained updates; Finally
through thorough security and performance analysis
it is proved that the proposed method is secure and efficient.
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