One secure data integrity verification scheme for cloud storage

Yongkai Fan, Xiaodong Lin, Gang Tan, Yuqing Zhang, Wei Dong, Jing Lei

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

Cloud computing is a novel kind of information technology that users can enjoy sundry cloud services from the shared configurable computing resources. Compared with traditional local storage, cloud storage is a more economical choice because the remote data center can replace users for data management and maintenance, which can save time and money on the series of work. However, delivering data to an unknown Cloud Service Provider (CSP) makes the integrity of data become a potential vulnerability. To solve this problem, we propose a secure identity based aggregate signatures (SIBAS) as the data integrity checking scheme which resorts Trusted Execution Environment (TEE) as the auditor to check the outsourced data in the local side. SIBAS can not only check the integrity of outsourced data, but also achieve the secure key management in TEE through Shamir's (t,n) threshold scheme. To prove the security, security analysis in the random oracle model under the computational Diffie–Hellman assumption shows that SIBAS can resist attacks from the adversary that chooses its messages and target identities, experimental results also show that our solution is viable and efficient in practice.

Original languageEnglish (US)
Pages (from-to)376-385
Number of pages10
JournalFuture Generation Computer Systems
Volume96
DOIs
StatePublished - Jul 2019

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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