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  • 标题:Public Data Integrity Verification Scheme for Secure Cloud Storage
  • 本地全文:下载
  • 作者:Yuan Ping , , Yu Zhan , Ke Lu ; Baocang Wang
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2020
  • 卷号:11
  • 期号:9
  • 页码:1-16
  • DOI:10.3390/info11090409
  • 出版社:MDPI Publishing
  • 摘要:Although cloud storage provides convenient data outsourcing services, an untrusted cloud server frequently threatens the integrity and security of the outsourced data. Therefore, it is extremely urgent to design security schemes allowing the users to check the integrity of data with acceptable computational and communication overheads. In this paper, we first propose a public data integrity verification scheme based on the algebraic signature and elliptic curve cryptography. This scheme not only allows the third party authority deputize for users to verify the outsourced data integrity, but also resists malicious attacks such as replay attacks, replacing attack and forgery attacks. Data privacy is guaranteed by symmetric encryption. Furthermore, we construct a novel data structure named divide and conquer hash list, which can efficiently perform data updating operations, such as deletion, insertion, and modification. Compared with the relevant schemes in the literature, security analysis and performance evaluations show that the proposed scheme gains some advantages in integrity verification and dynamic updating.
  • 关键词:public verification; dynamic data updating; cloud storage; algebraic signatures; elliptic curve discrete logarithm problem public verification ; dynamic data updating ; cloud storage ; algebraic signatures ; elliptic curve discrete logarithm problem
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