Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach

Feng, C, Yu, K, Bashir, AK, Al-Otaibi, YD, Lu, Y, Chen, S and Zhang, D (2021) Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach. IEEE Network: the magazine of global information exchange, 35 (1). pp. 130-137. ISSN 0890-8044

Preview

Accepted Version
Available under License In Copyright.
Download (2MB) | Preview

Official URL: https://ieeexplore.ieee.org/document/9354926

Abstract

The drone's open and untrusted environment may create problems for authentication and data sharing. To address this issue, we propose a blockchain-enabled efficient and secure data sharing model for 5G flying drones. In this model, blockchain and attribute-based encryption (ABE) are applied to ensure the security of instruction issues and data sharing. The authentication mechanism in the model employs a smart contract for authentication and access control, public key cryptography for providing accounts and ensuring accounts' security, and a distributed ledger for security audit. In addition, to speed up out-sourced computations and reduce electricity consumption, an ABE model with parallel outsourced computation (ABEM-POC) is constructed, and a generic parallel computation method for ABE is proposed. The analysis of the experimental results shows that parallel computation significantly improves the speed of outsourced encryption and decryption compared to serial computation.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	04 May 2021 07:33
Publisher:	Institute of Electrical and Electronics Engineers
Additional Information:	© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering
Subject terms:	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, Networking & Telecommunications
URI:	https://e-space.mmu.ac.uk/id/eprint/627628
DOI:	https://doi.org/10.1109/MNET.011.2000223
ISSN	0890-8044
e-ISSN	1558-156X

Impact and Reach

Statistics

DownloadsShow export options

Activity Overview

6 month trend

647Downloads

6 month trend

164Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Repository staff only

Edit record