Preserving Privacy in Mobile Crowdsensing within Intelligent Transportation System: Current Research and Future Challenges

The growth of Mobile Crowd Sensing has had an important impact on various industries, particularly Intelligent Transportation Systems, where it has been an efficient method for gathering data. Despite its advantages, there are significant privacy issues associated with MCS-based applications, which can result in the unauthorized exposure of users’ identities and locations. For this purpose, we explore the integration of MCS in the context of ITS, and its privacy concerns. This paper outlines the structure of MCS systems and provides an overview of their use in the context of ITS. It then discusses the privacy issues and measures related to MCS and conducts a literature review of privacy protection mechanisms using proposed privacy measures as evaluation criteria. Finally, the paper identifies open research challenges and future directions for the integration of privacy-preserving approaches in MCS applications within the ITS context, offering a comprehensive understanding and highlighting areas for further research.