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

Chaosheng Feng, Keping Yu, Ali Kashif Bashir, Yasser D. Al-Otaibi, Yang Lu, Shengbo Chen, Di Zhang

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

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.

Original languageEnglish
Article number9354926
Pages (from-to)130-137
Number of pages8
JournalIEEE Network
Volume35
Issue number1
DOIs
Publication statusPublished - 2021 Mar 1

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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