Graduation Year

2023

Document Type

Dissertation

Degree

Ph.D.

Degree Name

Doctor of Philosophy (Ph.D.)

Degree Granting Department

Computer Science and Engineering

Major Professor

Robert Karam, Ph.D.

Committee Member

Srinivas Katkoori, Ph.D.

Committee Member

Mehran Mozaffari Kermani, Ph.D.

Committee Member

Nasir Ghani, Ph.D.

Committee Member

Kaiqi Xiong, Ph.D.

Keywords

Biosignal Modeling, Hardware Emulation Platform, Physiological Closed-loop Control System (PCLCS)

Abstract

The Internet of Medical Things (IoMT) is a rapidly advancing field that relies heavily on semi- or closed-loop Wearable and Implantable Medical Devices (WIMDs). In recent years, there has been renewed interest in clinical automation, with researchers looking for innovative solutions for Physiological Closed-Loop Control Systems (PCLCS). However, these devices can have various security issues, including vulnerabilities in software and firmware, physical attacks, weak encryption/authentication, and compromised system components. Government agencies, including the US Food and Drug Administration (FDA) and European Medicines Agency (EMA), emphasize the importance of ensuring the safety and reliability of PCLCS since malfunctioning medical devices can lead to severe injury or even death. We explore the security issues in wearable and implantable medical devices, including hardware-based attacks and their impact on closed-loop control systems. This work introduces various techniques to enhance the safety and reliability of PCLCS against natural faults and intentional attacks. In addition, a hardware emulation platform is presented, suitable for simulating different faults and attacks on PCLCS components and evaluating the effectiveness of proposed countermeasures. This work aims to enhance the safety and reliability of PCLCS by addressing concerns related to both individual system components and the system as a whole, including natural and intentional defects.

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