Personalized Outsourced Privacy-preserving Database Updates for Crowd-sensed Dynamic Spectrum Access

Dynamic Spectrum Access (DSA) paradigm enabled through Cognitive Radio (CR) appliances is extremely well suited to solve the spectrum shortage problem. Crowd-sensing has been effectively used for dynamic spectrum access sensing by leveraging the power of the masses. Specifically in the DSA context, crowd-sensing allows end users to query a DSA database which is updated through crowd-sensing workers. Despite recent research proposals that address the privacy and confidentiality concerns of the querying user and crowd-sensing workers, personalized privacy-preserving database updates through crowd-sensing workers remains an open problem. To this end we propose a personalized privacy-preserving database update scheme for the crowd-sensing model based on lightweight homomorphic encryption. We provide substantial experiments based on real-life mobility data sets which show that the proposed protocol provides realistic efficiency and security.