A location data protection protocol based on differential privacy

Location-based services (LBS) is geo-location-based a mobile information service based on spatial location that adopts wireless positioning, GIS, Internet, wireless communication, database and other related technologies. which brings both convenience and vulnerability. With the increasing of scale and value of data, most existing location privacy protection protocols cannot balance privacy and utility. To solve the revealing problems in LBS, in this paper, we first design an algorithm of the best-assisted user selection (BaUS) for constructing anonymity sets. Next, we contract a smart contract to evaluate reputation, to ensure the honesty of participants. And then a differential privacy protection protocol is proposed. The theoretical analysis and experiments show that the proposed protocol can resist background knowledge attacks effectively. Meanwhile, our protocol can improve data availability. Particularly, it realizes usercontrollable privacy protection which enhances privacy preservation and better security.