SIM-RPM: Secure Incentive Mechanism for Crowdsourcing-Based Road Pavement Monitoring System

摘要

Crowdsourcing-based road pavement monitoring is a new computing paradigm, where some drivers detect road surface information and publish it to the data center, while other drivers download it for use. However, current road pavement monitoring schemes lack an incentive mechanism, which discourages drivers from publishing road surface information. More importantly, current security protocols for crowdsourcing-based systems are built on real identities of drivers, resulting in the user privacy problem. At the same time, current security protocols for crowdsourcing-based systems use time-consuming bilinear map for designing cryptographic algorithms, resulting in the efficiency problem. To solve the above problems, we present a secure incentive mechanism for road pavement monitoring systems called SIM-RPM. Different from protocols of this field, SIM-RPM is built on pseudonyms, which can provide user privacy protection for drivers. Moreover, by designing an access control protocol, SIM-RPM enables drivers to sell road surface information, which encourages drivers to attend the road pavement monitoring system. Finally, to reduce the time cost, we introduce the Bloom filter technique to SIM-RPM, and design novel light-weight cryptographic algorithms. By doing so, SIM-RPM provides a secure and efficient incentive mechanism for crowdsourcing-based road pavement monitoring systems. Experimential results show SIM-RPM is feasible for real world applications.