.png){kind=icon}
返回
Identity-Based Privacy Preserving Remote Data Integrity Checking for Cloud Storage
.png){kind=icon}
PRE
AI
DOI：10.1109/JSYST.2020.2978146.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Although cloud storage service enables people easily maintain and manage amounts of data with lower cost, it cannot ensure the integrity of people's data. In order to audit the correctness of the data without downloading them, many remote data integrity checking (RDIC) schemes have been presented. Most existing schemes ignore the important issue of data privacy preserving and suffer from complicated certificate management derived from public key infrastructure. To overcome these shortcomings, this article proposes a new Identity-based RDIC scheme that makes use of homomorphic verifiable tag to decrease the system complexity. The original data in proof are masked by random integer addition, which protects the verifier from obtaining any knowledge about the data during the integrity checking process. Our scheme is proved secure under the assumption of computational Diffie-Hellman problem. Experiment result exhibits that our scheme is very efficient and feasible for real-life applications.
Keyword:
Cloud computing
Servers
Data integrity
Data privacy
Protocols
Data models
Cloud storage
identity-based cryptography
remote data checking
privacy preserving
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容