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author:

Ali, Mohammad (Ali, Mohammad.) [1] | Hosseingholizadeh, Amin (Hosseingholizadeh, Amin.) [2] | Liu, Ximeng (Liu, Ximeng.) [3] (Scholars:刘西蒙)

Indexed by:

EI Scopus SCIE

Abstract:

The integration of 5G edge computing in the Internet of Medical Things (IoMT) holds the promise for decentralized medical services. However, this advancement raises substantial security concerns, particularly concerning data integrity and access control. The preservation of patient privacy and data security is imperative, given the sensitive nature of medical data. Despite existing research efforts, current solutions exhibit notable drawbacks. In particular, integrity and access control issues are often addressed in isolation, resulting in elevated input/output (I/O) and communication costs. Additionally, many solutions lack the efficiency necessary for deployment on small IoMT devices. This paper introduces a groundbreaking cryptographic solution, named online/offline remote signcryption ((ORSC)-R-2), effectively addressing these limitations. (ORSC)-R-2 facilitates the simultaneous provision of integrity and access control services, minimizing computational operations in online mode. Our inspection is executed without the need for complete data downloads, significantly reducing communication costs. Our analysis shows that (ORSC)-R-2 is secure and cost-effective than current state-of-the-art schemes. Our online/offline technique significantly reduces system overhead. For 200 KB of data, (ORSC)-R-2 is over 100 times faster in encryption and decryption, and it reduces ciphertext size by over 100 times. For 200 MB of data, (ORSC)-R-2 tags over 100 times faster.

Keyword:

5G edge computing access control Access control Costs data integrity Data integrity Encryption Internet of Medical Things (IoMT) Medical diagnostic imaging Medical services provable security Security signcryption

Community:

  • [ 1 ] [Ali, Mohammad]Amirkabir Univ Technol, Dept Math & Comp Sci, Tehran 158754413, Iran
  • [ 2 ] [Hosseingholizadeh, Amin]Amirkabir Univ Technol, Dept Math & Comp Sci, Tehran 158754413, Iran
  • [ 3 ] [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 TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

ISSN: 2327-4697

Year: 2024

Issue: 5

Volume: 11

Page: 4120-4133

6 . 7 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: 2

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