JOURNAL ARTICLE

An Edge Computing Data Privacy-Preserving Scheme Based on Blockchain and Homomorphic Encryption

Abstract

The rapid increase in the number of mobile smart devices has led to an exponential growth in user data. With the access of a large number of heterogeneous edge devices and the in-depth development of edge computing technology in various fields, it has brought huge challenges to the security management and data privacy protection in the edge computing architecture. Therefore, this paper proposes a lightweight edge computing data privacy-preserving scheme based on blockchain and homomorphic encryption. Above all, set edge computing servers as distributed nodes of the blockchain network and utilize the decentralization of blockchain and the non-tamperable characteristics of information to ensure the distributed storage of data and information recording. Then, designing a blockchain data encryption transmission scheme based on homomorphic encryption which could guarantee data transmission between edge nodes in the form of homomorphic ciphertext. Meanwhile, supporting the verification of the legality and correctness of the transaction in the form of ciphertext. Simulation experiments show that the method proposed in this paper can carry out effective data encryption transmission and has certain application potential.

Keywords:
Computer science Homomorphic encryption Ciphertext Encryption Blockchain Computer network Distributed computing Information privacy Enhanced Data Rates for GSM Evolution Computer security

Metrics

12
Cited By
4.56
FWCI (Field Weighted Citation Impact)
8
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
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