Location Privacy Leaking From Spectrum Utilization Information in Database-Driven Cognitive Radio Network
The Database-driven Cognitive Radio Network is regarded as a promising way for a better utilization of radio channels without introducing the interference to the primary user. However, it is also facing a series of security threats. In this paper, the authors identify a new kind of location privacy related attack which could geo-locate a secondary user from the spectrum he used. They propose a Spectrum Utilization based Location Inference Algorithm, which is based on the inter-section of the possible location sets revealed by each channel access or channel transition event under the presence of the primary user.