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author:

Ali, Mohammad (Ali, Mohammad.) [1] | Sadeghi, Mohammad-Reza (Sadeghi, Mohammad-Reza.) [2] | Liu, Ximeng (Liu, Ximeng.) [3] | Vasilakos, Athanasios V. (Vasilakos, Athanasios V..) [4]

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EI

Abstract:

With the rapid development of cloud computing and Internet of Things (IoT), smart health (s-health) is anticipated to enhance healthcare quality significantly. However, data integrity, user anonymity, and authentication concerns have not been adequately addressed in s-health. Remote data integrity checking (RDIC) and digital signature schemes have great potential to address these requirements. Nevertheless, the direct adoption of these schemes suffers from two flaws. First, they incur prohibitively high computation and communication overhead. Second, they leak sensitive health information about patients and do not provide complete anonymity. To address these issues, we introduce A^3BA3B- RDVRDV, an aggregate anonymous attribute-based remote data verification scheme. In A^3BA3B- RDVRDV, the integrity of an arbitrary number of cloud data files can be verified at once without downloading the whole data, thereby saving communication and computation resources. Moreover, in A^3BA3B- RDVRDV, data owners can be authenticated by performing highly efficient operations. Also, A^3BA3B- RDVRDV provides complete anonymity and supports dishonest-user traceability. We provide security definitions for A^3BA3B- RDVRDV and prove its security under the hardness assumption of the bilinear Diffie-Hellman (BDH) problem. Performance comparisons and experimental results indicate that A^3BA3B- RDVRDV is more efficient and expressive than state-of-the-art approaches. © 2013 IEEE.

Keyword:

Aggregates Authentication Cloud computing Cryptography Internet of things Latexes Network security Sensitive data

Community:

  • [ 1 ] [Ali, Mohammad]Amirkabir University of Technology, Department of Mathematics and Computer Science, Tehran; 1591634311, Iran
  • [ 2 ] [Sadeghi, Mohammad-Reza]Amirkabir University of Technology, Department of Mathematics and Computer Science, Tehran; 1591634311, Iran
  • [ 3 ] [Liu, Ximeng]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou; 350116, China
  • [ 4 ] [Liu, Ximeng]Key Laboratory of Information Security of Network Systems, Fujian, Fuzhou; 350116, China
  • [ 5 ] [Vasilakos, Athanasios V.]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou; 350116, China
  • [ 6 ] [Vasilakos, Athanasios V.]University of Agder, Center for AI Research, Grimstad; 4630, Norway

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Source :

IEEE Transactions on Cloud Computing

Year: 2023

Issue: 3

Volume: 11

Page: 2839-2855

5 . 3

JCR@2023

5 . 3 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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