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author:

Ali, Mohammad (Ali, Mohammad.) [1] | Liu, Ximeng (Liu, Ximeng.) [2] (Scholars:刘西蒙)

Indexed by:

EI Scopus SCIE

Abstract:

Ensuring data integrity and confidentiality is critical in communication systems. Traditional methods, such as separate encryption and signature schemes, often lead to inefficiencies. While signcryption methods address both needs simultaneously, they are inadequate for data outsourcing systems like cloud computing due to the requirement for original files during data verification. Conversely, remote data integrity checking (RDIC) methods eliminate the need for original files but lack confidentiality. This article fills the gap in cloud security by introducing remote signcryption (RSC) and presenting the first concrete RSC scheme. We demonstrate the application of this novel approach in cloud-assisted Internet of Things (IoT) networks. Our work includes defining the security for an RSC scheme and proving its security under the bilinear Diffie-Hellman (BDH) hardness assumption. Implementing our proposed scheme on real data from trending YouTube video statistics, we found that RSC significantly outperforms existing methods, achieving 100 times faster speed and reducing communication costs by half compared to RDIC methods. Notably, even with 5 MB of outsourced data, RSC keeps the communication cost under 8 kB during data recovery, a substantial improvement over classical signcryption methods that require over 5 MB.

Keyword:

Cloud computing Costs Data confidentiality data integrity Data integrity Encryption Internet of Things provable security Public key remote data integrity checking (RDIC) remote signcryption (RSC) Security 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:

  • 刘西蒙

    [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: 2024

Issue: 24

Volume: 11

Page: 41207-41222

8 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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