Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT)
George W. Jackson, Jr., Shawon Rahman

TL;DR
This paper investigates the communication of cybersecurity risks in the Medical Internet of Things (MIoT), highlighting the importance of effective risk communication to vulnerable healthcare patients through a case study involving medical device specialists.
Contribution
It provides empirical data on cybersecurity risk communication challenges in MIoT healthcare settings, emphasizing the need for improved patient communication strategies.
Findings
Identified gaps in cybersecurity risk communication to patients.
Highlighted the vulnerability of cardiac device patients to cybersecurity threats.
Provided insights for enhancing healthcare cybersecurity education and communication.
Abstract
As device interconnectivity and ubiquitous computing continues to proliferate healthcare, the Medical Internet of Things (MIoT), also well known as the, Internet of Medical Things (IoMT) or the Internet of Healthcare Things (IoHT), is certain to play a major role in the health, and well-being of billions of people across the globe. When it comes to issues of cybersecurity risks and threats connected to the IoT in all of its various flavors the emphasis has been on technical challenges and technical solution. However, especially in the area of healthcare there is another substantial and potentially grave challenge. It is the challenge of thoroughly and accurately communicating the nature and extent of cybersecurity risks and threats to patients who are reliant upon these interconnected healthcare technologies to improve and even preserve their lives. This case study was conducted to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Systems and Machine Learning
