Research on Privacy Protection Based on Mobile Crowdsensing
Thanks to the rapid development of mobile devices and wireless networks,Mobile Crowdsensing(MCS)has gradually emerged as a new paradigm of data perception.However,during the execution of perception tasks,users face various privacy risks in terms of personal privacy and data security,while greatly reducing system availability.To address privacy issues in mobile crowdsensing,an investigation and analysis were conducted on existing privacy protection schemes.Firstly,a brief in-troduction is given to the system model and main security technologies of mobile crowdsensing.Taking the mobile crowdsensing system as a whole,it is summarized that there are privacy threats in the per-ception task process.Secondly,based on the above threats,we will focus on discussing location priva-cy,data privacy,and bidding privacy in the perception task process,and summarize and analyze their related research.Finally,further prospects are provided for the future development of mobile crowdsensing.
mobile crowdsensingprivacy protectionsecurity technologyprivacy threat