计算机科学
云存储
云计算
数据完整性
随机预言
重放攻击
甲骨文公司
计算机安全
架空(工程)
方案(数学)
数据库
公钥密码术
计算机网络
加密
操作系统
认证(法律)
程序设计语言
数学分析
数学
作者
Hao Yan,Jiguo Li,Yichen Zhang
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2020-06-01
卷期号:14 (2): 1788-1797
被引量:61
标识
DOI:10.1109/jsyst.2019.2918022
摘要
Remote data possession checking (RDPC) supplies an efficient manner to verify the integrity of the files stored in cloud storage. Public verification allows anyone to check the integrity of remote data so that it has a wider application in public cloud storage. Private verification just allows the data owner to verify the data integrity, which is mainly applied for the verification of secret data. However, in many real applications, the data owner expects a specific user to check the files in cloud storage, whereas others cannot execute such work. It is obvious that neither public verification nor private verification can satisfy such a requirement. To solve this issue, Ren et al. provided a designated-verifier provable data possession (DV-PDP) protocol. Unfortunately, the DV-PDP is insecure against replay attack launched by the malicious cloud server. To overcome this shortcoming, we present a new RDPC scheme with the designated verifier, in which the data owner specifies a unique verifier to check the data integrity. Based on the computational Diffie-Hellman assumption, we prove the security for our RDPC scheme in a random oracle model. The theoretical analysis and experiment results indicate that our scheme has less communication, storage, and computation overhead while achieving high error detection probability.
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