Location privacy-preserving Mobile Crowd Sensing with Anonymous Reputation

In our society, the concept of sharing information is growing that lead to the emerging crowdsensing technology where a crowd of connected devices having sensors is used to sense and collect information. However, privacy is a true concern in crowdsensing technologies. Hence, this paper introduces two user's location privacy-preserving techniques based on anonymous reputation such as pseudonyms and different data collector/sender. Initially, we present very popular existing approach that uses pseudonyms to attach with the information to transmit data to the central server. Then, we introduce a simple but very effective approach DDCS, which uses different data collector and sender (i.e., one user collects information and swaps with other user that transmits collected information to the central server or platform). Finally, we introduce a hybrid approach that integrates pseudonyms with DDCS approach to achieve better privacy. Simulation results showed that hybrid approach outperforms pseudonym-based approach and DDCS in term of privacy preserving.