A Blockchain Based Privacy-Preserving Incentive Mechanism in Crowdsensing Applications

【Author】 Wang, Jingzhong; Li, Mengru; He, Yunhua; Li, Hong; Xiao, Ke; Wang, Chao

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】Crowdsensing applications utilize the pervasive smartphone users to collect large-scale sensing data efficiently. The quality of sensing data depends on the participation of highly skilled users. To motivate these skilled users to participate, they should receive enough rewards for compensating their resource consumption. Available incentive mechanisms mainly consider the truthfulness of the mechanism, but mostly ignore the issues of security and privacy caused by a "trustful'' center. In this paper, we propose a privacy-preserving blockchain incentive mechanism in crowdsensing applications, in which a cryptocurrency built on blockchains is used as a secure incentive way. High quality contributors will get their payments that are recorded in transaction blocks. The miners will verify the transaction according to the sensing data assessment criteria published by the server. As the transaction information can disclose users' privacy, a node cooperation verification approach is proposed to achieve k-anonymity privacy protection. Through theoretical analysis and simulation experiments, we show the feasibility and security of our incentive mechanism.

【Keywords】Blockchain; crowdsensing; incentive mechanism; node cooperation; privacy-preserving; signcryption

【发表时间】2018

【收录时间】2022-01-02

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