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Cryptography, Volume 8, Issue 4
2024 December - 15 articles
Cover Story: Securing implantable medical devices (IMDs) is challenging due to their limited resources (e.g., battery and computing power) and the critical nature of their tasks. Security techniques for IMDs include biometric-based authentication, proximity-limited communication for the prevention of eavesdropping, lightweight cryptographic protocols, anomaly detection, and auditing systems. Various surveys have categorized threats into telemetry interference, software vulnerabilities, and hardware issues, analyzing solutions for each. While traditional approaches focus on access control and encryption, newer methods consider machine learning as a potential tool for IMD security. This paper systematizes existing IMD security research, emphasizing the importance of machine learning and identifying key techniques for secure deployment in medical infrastructure. View this paper
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