A blockchain-based mobile crowdsensing scheme with enhanced privacy

【Author】 Peng, Tao; Guan, Kejian; Liu, Jierong; Chen, Jianer; Wang, Guojun; Zhu, Jiawei

【Source】CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

【影响因子】1.831

【Abstract】With the popularity and development of sensors-containing intelligent terminals, mobile crowdsensing system (MCS) based on the Internet of Things (IoT) has become a new paradigm of application. By the MCS, the pervasive smart device users are enabled to collect large-scale data cost-effectively, for crowd intelligent extraction and human-centric service delivery. However, most of the existing MCSs are based on a centralized structure vulnerable to attacks and intrusions. Moreover, the data collected through crowdsensing are diverse and difficult to guarantee user privacy, especially during the payment and data upload stages. In this article, we propose a blockchain-based privacy-preserving crowdsensing (BPPC) scheme based on the distributed structure, to protect user privacy. First, we combine the multiblockchain technology and K-anonymity to construct anonymity groups for the confusion. Second, we present the random algorithm HashProof to select candidates from the anonymity groups to avoid deployment of Trusted Third Party (TTP) or agent server. Ultimately, we design encryption-based algorithms building trust and authentication mechanisms in the system to guarantee the confidentiality of user data and achieve the accurate distribution of rewards. To verify the effectiveness and efficiency of the BPPC scheme, extensive experiments were conducted.

【Keywords】blockchain; crowdsensing system; incentive mechanism; K-anonymity; privacy preservation

【发表时间】

【收录时间】2022-01-01

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