JOURNAL ARTICLE

A multikey fully homomorphic encryption privacy protection protocol based on blockchain for edge computing system

Junguo LiaoHaifeng WangJune Wu

Year: 2022 Journal:   Concurrency and Computation Practice and Experience Vol: 35 (4)   Publisher: Wiley

Abstract

Summary In order to protect private data in edge computing system and ensure that ciphertexts encrypted under different keys can be processed in the cloud, we propose a privacy protection protocol for edge computing, which is based on blockchain technology and multikey fully homomorphic encryption (MFHE). By constructing a Merkle hash tree and saving the Merkle root node to the blockchain, the integrity of the data in edge nodes is protected. For the data with high computational complexity in edge nodes, the GSW fully homomorphic encryption scheme is employed to process the encrypted private data of a single edge node by the CMS. The LinkAlgo algorithm is applied to link different keys by the relation between them, which enables the CMS to process the encrypted private data of multiple edge nodes. The security analysis and performance evaluation of the proposed privacy protection protocol show that our protocol has high security and good efficiency.

Keywords:
Homomorphic encryption Merkle tree Computer science Encryption Hash function Node (physics) Protocol (science) Enhanced Data Rates for GSM Evolution Cloud computing Computer network Information privacy Blockchain Computer security Hash chain Operating system Engineering

Metrics

5
Cited By
0.98
FWCI (Field Weighted Citation Impact)
17
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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