A Secure and Privacy-Preserving Solution for IoT over NDN Applied to E-health

E-health IoT application has a great potential in improving daily life. However, it includes a huge number of communicating nodes exchanging sensitive data, which rises both security and privacy challenges. Named Data Networking (NDN) represents a promising future network architecture, dealing with such challenges. It fits perfectly with all IoT applications and specifically E-health. In addition, it supports natively several security and privacy aspects. In this paper, we propose a pioneering privacy preserving E-health solution over NDN. This solution ensures security and achieves all privacy requirements. It relies mainly on the improvement and the adaptation of an existing privacy attempt for NDN, named AND (a) over bar NA. We prove the robustness of our proposal using a security analysis and we demonstrate its effectiveness through performance evaluation. The simulation results reveal that our proposal has an acceptable transmission delay and involves a negligible overhead.