Chapter Six - A study on security privacy issues and solutions in internet of medical things—A review

Abstract

In recent times, the Internet of medical things (IoMT) has become an emerging technology in the field of modern communication systems. IoMT has a collection of physical things that embed with electronic devices, sensors, and actuators to connect via wireless communication without human interactions. These are primarily equipped with sensors (pressure sensor, temperature sensor, smoke sensor, etc.) that have less computing power to deploy in various real-time environments like retail, e-parking, e-healthcare, telecom, and finance. In the health-care domain within the style of fitness bands, wearables, wireless devices (heart rate monitor), etc. offer accurate services to the patients for treatment. Notably, these sorts of devices will provide remainders to the patient for appointments, etc. Modern health-care applications play a vital role in safety, health, and attention for billions of human lives from illness. Before this, technology interaction between doctors and patients was limited. There is no way to monitor the patient’s physical condition continuously by the specialist or hospitals. Body area network (BAN) is a novel tendency in health-care expertise that delivers distant gadgets to gather patient information. This collected information is stored in the BAN or shared with a particular hospital and doctor for treatment. Also, when the Patient’s confidential data is automatically stored in the public network, it increases the lack of privacy. But smart health-care designers do not consider the threats. Attackers can take the patient’s details from the public network for vulnerable activities. The applications involved in IoMT development need to be considered as complex issues before their launch, which needs to apply more safety and confidentiality issues. The main aim of this paper is to investigate the current safekeeping and secrecy issues and also surviving solutions to remote health-care applications. We reviewed various solution mechanisms for key generation and bioinspired optimization approaches to find novel solutions to complex issues on the web application in the health-care division.