Privacy Ensured ${e}$ -Healthcare for Fog-Enhanced IoT Based Applications

Abstract

The progress in network technology and hardware in conjunction with the Internet-of-Things (IoTs) has provided the comfortability for an easier human life at present. Apart from the so-called “smart” environments, including smart homes, smart city, smart agriculture, IoTs have been included recently in e-healthcare systems as well for real-time diagnosis and medical consultancy. To enhance the capabilities of IoT-based healthcare systems, fog layers have been employed and that have shown its worth by providing fast response time and low latency. However, such development is posing a severe challenge in preserving the privacy of the users which further addresses the security/privacy issues to some extent. Being in an infant stage, such technology has invariably run into fewer privacy controls. Therefore, our present work is about an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${e}$ </tex-math></inline-formula> -healthcare framework dealing with electronic medical records (EMRs) which preserves the privacy issues. Moreover, we have experimented the proposed work with respect to response time and delay and have compared with recent works. The results show that the proposed work is efficient in providing privacy along with standard network parameters.