Machine Intelligence for Internet of Medical Things: Applications and Future Trends

An Approach to the Internet of Medical Things (IoMT): IoMT-Enabled Devices, Issues, and Challenges in Cybersecurity

Author(s): Usha Nandhini Rajendran and P. Senthamizh Pavai * .

Pp: 31-46 (16)

DOI: 10.2174/9789815080445123020006

* (Excluding Mailing and Handling)

Abstract

As the number of devices connected to the Internet (Internet of Things: IoT) grows, ensuring reliable security and privacy becomes more difficult. With the widespread usage of online medical facilities, security and privacy in the medical arena have become a severe problem that is only becoming worse. The criticality and sensitivity of data in the healthcare industry make guaranteeing the security and privacy of the Internet of medical things (IoMT) even more difficult. The privacy of the patients will be threatened, and their lives may be threatened if effective measures are not implemented in IoMT. Also, it provides novel services, such as remote sensing, elder care assistance, and e-visit, improving people’s health and convenience while lowering medical institution costs per-patient. However, with the rise of mobile, wearable, and telemedicine options, security can no longer be assessed just inside the confines of clean physical walls. Nonetheless, by implementing recognized and applicable safeguards, the risk of exploiting vulnerabilities can be greatly decreased. This article provides an outline of the key security and privacy measures that must be implemented in current IoMT environments to protect the users and stakeholders involved. The overall approach can be seen as a best-practice guide for safely implementing IoMT systems.

© 2024 Bentham Science Publishers | Privacy Policy