A Homomorphic Encryption Based Location Privacy Preservation Scheme for Crowdsensing Tasks Allocation

In the process of crowdsensing, tasks allocation is an important part precise as well quality feedback results. However, during this process, applicants, publisher and authorized agency may be aware location each other, then threaten their privacy. Thus, in order to cope with problem privacy violation allocation, paper, based on basic idea homomorphic encryption, encrypted grids matching scheme proposed (short for EGMS) provide preservation service entity that participates crowdsensing. scheme, used are firstly, so task by applicants publishers also environment. Next, locations can services secrets preserved. Finally, results grid they located in, gets these results, whole crowdsensing finished. last four types security analysis given prove between publisher. Then several groups experimental verification simulates test efficiency EGMS, compared other similar schemes, further demonstrate superiority our scheme.