Reliable and Secure Data Sharing in Decentralized Mobile Crowd Systems

Mobile crowd sensing (MCS) systems, which offer a great opportunity to fully take advantage of wisdom of the crowd, naturally benefits from low deployment cost and widely spatial coverage. Due to failure or risk caused by a central server, we study the problem of constructing an efficient mobile crowd sensing system with untrustworthy participants in a decentralized manner. We propose an efficient and practical decentralized MCS system based on a distributed auction process and the blockchain system. The proposed method achieves the optimal social profit iteratively satisfying individual rationality and protecting their privacy, through a neutral, public and trustful platform. Both theoretical analysis and numerical experiment show the effectiveness of the proposed approach.