Need and Issue of Privacy Preservation in Mobile Crowd Sensing

Abstract

Utilizing the sensors already present in smart phones, "people-centric sensing" may be utilized for low-cost, large-scale sensing of the real environment. The growing paradigm of mobile crowd sensing is made possible by recent breakthroughs in sensing, computation, and networking (MCS). Because of the nature of these systems and the wealth of information that MCS users are required to give, there are legitimate safety, privacy, and reliability issues. Previous works dealt with various facets of the issue. However, a comprehensive approach is required to fully realize the potential of this new sensing paradigm. That is, an MCS system that is trustworthy, protects users' privacy, and allows for the distribution of rewards to those who take part. Here, we introduce mobile crowd sensing and discuss its practical uses. This paper focuses on the problems with MCS privacy and the needs for protecting user privacy in MCS.