Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach

The technological advancements in the health care system have made possible the massive integration of biomedical sensors for monitoring patients' health and disease progression. In this paper, we consider a three tier medical body area network (MBAN): intra-MBAN, inter-MBAN, and beyond-MBAN. The intra-MBAN transmits sensors' data to a controller, which in turn transmits them in the inter-MBAN tier to an access device like a PDA or a tablet device, usually connected to a patient's medical database. The access device then serves as a mean of communication between intra-MBAN and beyond-MBAN to access the hospital information systems. This widely deployed design in hospitals places security and privacy violation threats on the spotlight of attention, especially in the inter-MBAN tier. This has motivated us to optimize the average MBAN controller transmit power that minimizes the probability of eavesdroppers overhearing the communication, using tools from stochastic geometry. We analyze this privacy protection scheme for eHealth systems through simulations. Results show that the proposed scheme achieves higher privacy protection, but at the expense of reduced coverage.