Privacy Preservation for Dating Applications
Weicheng Wang, Shengling Wang · Procedia Computer Science · 2018
Dating applications can satisfy the social contact needs of different users and become tools for developing a social relationship. However, the privacy leakage has turned into an insurmountable obstacle to the market success of social applications. Existing privacy protection schemes for social applications either introduce untrusted third parties or sacrifice information accuracy. In this paper, we put forward the privacy protection mechanism based on zero knowledge. In detail, the server knows nothing about the users information, but can still provide accurate services to users. We also analyze the potential attack methods and propose the corresponding solutions. Our simulation results verify the effectivity of our scheme.