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Blockchain-Assisted Privacy-Preserving Data Computing Architecture for Web3

delete2023-08-01
delete4
PRE
AI
郭少勇 (Shaoyong Guo)
F
Fan Zhang *
S
Song Guo
S
Siya Xu
齐峰 cover
齐峰 (Feng Qi)
DOI:10.1109/MCOM.001.2200408delete
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Abstract

Abstract

En 中文
Web3 has received a lot of attention since its emergence. It aims to provide users with more diverse and vivid web services as well as the complete control over their own data. To support the development of Web3, privacy- preserving decentralized data computing schemes need to be studied. In earlier works, blockchain was used for trusted data sharing. However, due to the lack of computing attribute, blockchain is not capable enough to ensure the trustworthiness of the distributed computing process. Besides, the distributed computing method requires a large amount of data transmission and the current privacy protection researches seldom consider the problem of user privacy. In this article, we design a blockchain-assisted privacy-preserving distributed data computing architecture to breakthrough the limitations of existing researches. The proposed architecture ensures the secure and trustworthy computing with state channel and computing sandbox. We also design a sandbox location obfuscation method based on onion routing technology, making it difficult for attackers to identify the sandbox location or infer user privacy. Our solution fully considers the characteristics of Web3 and can well support the diverse Web3 applications.

Journal

IEEE Communications Magazine cover
IEEE Communications Magazine
IF:
8.2
Papers:
6.9K
Citations:
2.2W

Organization

B
beijing university of posts & telecommunications
Scholars:
1.4W
Papers: 1.2W
Citations: 9
H
hong kong polytechnic university
Scholars:
3.0W
Papers: 4.1W
Citations: 921