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author:

Ali, Mohammad (Ali, Mohammad.) [1] | Liu, Ximeng (Liu, Ximeng.) [2]

Indexed by:

EI Scopus SCIE

Abstract:

In communication systems, ensuring both data integrity and confidentiality is crucial. Traditional methods, such as encryption and signature schemes, handle these aspects separately, leading to inefficiencies. Signcryption techniques, which address both requirements simultaneously, present a more efficient alternative. Nonetheless, they are unsuitable for cloud storage systems due to their reliance on original files for data auditing. remote data integrity checking (RDIC) methods resolve this issue but compromise data confidentiality. To bridge the gap between signcryption and RDIC approaches, remote signcryption (RSC) has been proposed. However, existing RSC methods lack support for public auditing, rendering data auditing nonoutsourcable. This article introduces publicly verifiable remote signcryption (PVRSC) to address this shortcoming and presents the first concrete PVRSC scheme with public verifiability. We define the security model for PVRSC and prove its robustness based on the hardness of the bilinear diffie-hellman (BDH) problem. Our implementation on real data shows that PVRSC significantly outperforms existing methods, achieving speeds up to 100 times faster and reducing communication costs by half compared to RDIC methods. For outsourced data up to 5MB, PVRSC maintains a communication cost below 8KB during data recovery, a substantial improvement over classical signcryption approaches, which exceed 5 MB.

Keyword:

Cloud computing Costs Data confidentiality data integrity Data integrity Digital signatures Electronic mail Encryption Internet of Things provable security Public key remote data integrity checking (RDIC) remote signcryption (RSC) Security Servers signcryption

Community:

  • [ 1 ] [Ali, Mohammad]Amirkabir Univ Technol, Dept Math & Comp Sci, Tehran 1591634311, Iran
  • [ 2 ] [Liu, Ximeng]Fuzhou Univ, Coll Comp & Data Sci, Key Lab Informat Secur Network Syst, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Liu, Ximeng]Fuzhou Univ, Coll Comp & Data Sci, Key Lab Informat Secur Network Syst, Fuzhou 350108, Peoples R China

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2025

Issue: 10

Volume: 12

Page: 14828-14844

8 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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