A Privacy-Preserving Incentive Mechanism on Multi-Bid Crowdsourced Spectrum Sensing

Crowdsourced spectrum sensing (CSS)has been considered a great technique for increasing current spectrum service. Researchers have brought up some auction-based mechanisms for crowdsourced spectrum sensing system. However, the bid privacy of participants in multi-bid scenario has never been taken into consideration. In this paper, we propose BPriCSS, the first mechanism to protect the bid privacy during the process of selecting spectrum-sensing participants in CSS system. We prove that BPriCSS can simultaneously achieve differential bid privacy and truthfulness by theoretical analysis and simulation.