Key result
A novel ECG-based biometric authentication using a lift and shift method was proposed to provide lightweight computational trustworthiness for implantable medical devices.
Why the study?
Networked implantable medical devices are vulnerable to external attacks risking unauthorized access and compromised patient privacy, necessitating a lightweight computational trustworthy security design.
A novel ECG-based biometric authentication method using a lift and shift approach provides a lightweight and secure way to protect networked implantable medical devices from unauthorized access.
Implantable medical devices (IMD) such as pace-makers, and cardiac defibrillators are becoming increasingly interconnected to networks for remote patient monitoring. However, networked devices are vulnerable to external attacks that could allow adversaries to gain unauthorized access to devices/data and break patient privacy. To design a lightweight computational trustworthy of IMD, we propose novel ECG-based biometric authentication using lift and shift method based on post-processing data from the noise generated in an ECG signal recording. The lift and shift method is an ideal addition to this system because it is a quick, lightweight process that produces enough random bits for encrypted communication. ECG is a signal that is already being measured by the IMD, so this ECG biometric could utilize the data that is already being actively recorded. We provide a comprehensive evaluation across multiple NIST tests, as well as ENT and Dieharder statistical suites test.
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Karimian et al. (2023) studied Implantable medical device security. ECG-based biometric authentication using lift and shift method was evaluated on Evaluation across NIST, ENT, and Dieharder statistical suites tests. A novel ECG-based biometric authentication using a lift and shift method was proposed to provide lightweight computational trustworthiness for implantable medical devices.
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