基于多区块链的隐私保护众测系统

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) Pub Date : 2020-12-01 DOI:10.1109/TrustCom50675.2020.00265

Tao Peng, Jierong Liu, Jianer Chen, Guojun Wang

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引用次数: 6

摘要

随着智能移动设备的普及和发展，移动众测系统已经成为一种新的应用范式。它提供了一种低成本、高效率的感官数据采集模型。然而，大多数移动众测系统都是基于集中式结构，这将导致严重的隐私泄露。在本文中，我们将k-匿名和区块链相结合，构建了一个移动群体感知系统，用户可以上传自己的感知数据并获得相应的奖励，而无需担心隐私泄露。该系统采用分布式结构体系和加密算法，打破了数据、奖励与所有者之间的联系，增强了隐私保护。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Privacy-Preserving Crowdsensing System with Muti-Blockchain

Mobile crowdsensing system has become a new paradigm application with popularity and development of smart mobile devices. It provides a costless and efficient model to collect sensory data. However, most of mobile crowdsensing systems are based on the centralized structure, which will lead to serious privacy disclosure. In this paper, we combine k-anonymity and blockchain to build a mobile corwdsensing system, in which the users can upload their sensory data and receive corresponding rewards without privacy disclosure concern. With the distributed structure system and encryption algorithm, the system achieves enhanced privacy preservation through breaking the link between data and rewards and their owners.

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来源期刊

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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