PPNS: A Privacy-Preserving Node Selection Scheme in Crowdsensing Based on Blockchain

Recently with the popularity of embedded smart devices, mobile crowdsensing has become a new data collection paradigm. However, these traditional schemes rely on a central authority, leading to potential privacy disclosure, and there is no the guarantee that a center is completely credible in reality. In addition, the issues of security and privacy caused by the center platform should not be ignored, and the computation related to privacy data cannot be verified. In the paper, we propose a decentralized privacy-preserving model(PPNS) based on blockchain, which avoids data from being tampered with, and denied. In the prototype of PPNS, a privacy preserving node selection scheme is constructed and the result can be verified (i.e. security against malicious node) without any third-party arbiter. The experimental results show that compared with prior methods, our solution has a better performance and will facilitate node selection without violating participants' privacy.