Artificial Intelligence for Sustainable Applications

18An Extensive Study to Devise a Smart Solution for Healthcare IoT Security Using Deep Learning

Arul Treesa Mathew and Prasanna Mani*

School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

Abstract

Introduction of IoT Technology had brought in significant changes to the conventional mode of operation in healthcare service sector. The ease of use offered by such IoT-based systems added to its popularity and wide acceptance. Healthcare IoT based systems ranging from self-trackers to wearable assistance devices are used by millions of users in this world today. This has also led to a significant increase in the number of attacks over such systems. The attacks had varying motto like data breach, denial of service, and other malicious intentions. This gives an insight to why the security of healthcare IoT based systems are important. In this paper, we propose a smart solution to this issue, using deep learning based techniques.

Keywords: Healthcare, IoT, deep learning, security

18.1 Introduction

Recent years have marked remarkable improvement in all areas related to our day to day life, through the introduction of IoT and its wide range of applications. Internet of Things, the interconnected deployment of sensing devices, processing and storage units, has taken away the gap between technology and common people. This movement however showed best results in the advancement of healthcare sector. Rather than asking for a medical practitioner’s ...