Blockchain-Assisted Privacy-Preserving Data Computing Architecture for Web3

计算机科学 沙盒(软件开发) 块链 混淆 建筑 计算机安全 可信计算 信息隐私 数据共享 分布式计算 医学 软件工程 艺术 病理 视觉艺术 替代医学
作者
Shaoyong Guo,Fan Zhang,Song Guo,Siya Xu,Feng Qi
出处
期刊:IEEE Communications Magazine [Institute of Electrical and Electronics Engineers]
卷期号:61 (8): 28-34
标识
DOI:10.1109/mcom.001.2200408
摘要

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 break-through 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.

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