Enhanced Data Privacy Preservation Model for Mobile Crowdsensing System Using Blockchain Technology

With the recent advancement in computing and sensing capabilities of smart terminals, mobile crowdsensing systems built on smart and ubiquitous mobile terminals have become one of the rising applications allowing better sensing and scalable systems. However, the prior mobile crowdsensing system mostly employs centralized architecture, which is subject to low reliability and is vulnerable to malicious attacks. Furthermore, it is difficult to guarantee the privacy with the transparency of MCS systems. These factors have been a major hindrance to the growth of MCS applications. Hence, it is imperative to ensure security and privacy of such systems in order to meet the wide spectrum of its applications. So we propose a decentralized blockchain crowdsensing system to harness the benefits of this sensing paradigm. Our objective is to develop a decentralized crowdsensing system and meet the security and privacy requirements without affecting data sensing quality, achieving a trade-off between data quality and privacy preserving. We plan to integrate blockchain technology into the crowdsensing system. Meanwhile, we also focus on how to protect data privacy in blockchains to develop an accountable MCS system. By leveraging these technologies, we believe that MCS system will have a good performance in privacy protection and security enhancement.