Authors: Tian Li, Huaqun Wang, Debiao He, and Jia Yu
Title: Blockchain-based Privacy-preserving and Rewarding Private Data Sharing for IoT
Journal: IEEE Internet of Things Journal
Abstract: The Internet of Things (IoT) devices possessed by individuals produce massive amounts of data. The private data onto specific IoT devices can be combined with intelligent platform to provide help for future research and prediction. As an important digital asset, individuals can sell private data to get rewards. Problems such as privacy, security and access control prevent individuals from sharing their private data. Blockchain technology is widely used to build anonymous trading system. In this paper, we construct a blockchain-based privacy-preserving and rewarding private data sharing scheme (BPRPDS) for IoT. A privacy issue worth considering is that the malicious cloud server may establish behavior profile database of data users. In the case of anonymity, the transactions of private data sharing are easy to cause disputes. When anonymous data users are framed, it is hard to protect their rights. With the help of the deniable ring signature and Monero, we realize the behavior profile building prevention and non-frameability of BPRPDS. At the same time, we utilize the licensing technology executed by smart contracts to ensure flexible access control of multisharing. The proposed BPRPDS is provably secure. Performance analysis and experimental results show that BPRPDS is efficient and practical.