The healthcare industry is witnessing a rapid rise in the adoption of wearable and implantable medical devices, including advanced electrochemical sensors and other smart diagnostic technologies. These devices are increasingly used to enable real-time monitoring of physiological parameters, allowing for faster diagnosis and more personalized care plans. Their growing presence reflects a broader shift toward smart connected healthcare systems aimed at delivering immediate and actionable insights to both patients and medical professionals. At the same time, the healthcare industry is increasingly targeted by cyberattacks, primarily due to the high value of medical information; in addition, the growing integration of ICT technologies into medical devices has introduced new vulnerabilities that were previously absent in this sector. To mitigate these risks, new international guidelines advocate the adoption of best practices for secure software development, emphasizing a security-by-design approach in the design and implementation of such devices. However, the vast and fragmented nature of the information required to effectively support these development processes poses a challenge for the numerous stakeholders involved. In this paper, we demonstrate how key features of the Malware Information Sharing Platform (MISP) can be leveraged to systematically collect and structure vulnerability-related information for medical devices. We propose tailored structures, objects, and taxonomies specific to medical devices, facilitating a standardized data representation that enhances the security-by-design development of these devices.

Raso, E., Nanni, F., Lestini, F., Bracciale, L., Panico, G., Bianchi, G., et al. (2025). Improving vulnerability management for security-by-design of medical devices. SENSORS, 25(14) [10.3390/s25144418].

Improving vulnerability management for security-by-design of medical devices

Emanuele Raso;Francesco Lestini;Lorenzo Bracciale;Giorgia Panico;Giuseppe Bianchi;Giancarlo Orengo;Gaetano Marrocco;Pierpaolo Loreti
2025-01-01

Abstract

The healthcare industry is witnessing a rapid rise in the adoption of wearable and implantable medical devices, including advanced electrochemical sensors and other smart diagnostic technologies. These devices are increasingly used to enable real-time monitoring of physiological parameters, allowing for faster diagnosis and more personalized care plans. Their growing presence reflects a broader shift toward smart connected healthcare systems aimed at delivering immediate and actionable insights to both patients and medical professionals. At the same time, the healthcare industry is increasingly targeted by cyberattacks, primarily due to the high value of medical information; in addition, the growing integration of ICT technologies into medical devices has introduced new vulnerabilities that were previously absent in this sector. To mitigate these risks, new international guidelines advocate the adoption of best practices for secure software development, emphasizing a security-by-design approach in the design and implementation of such devices. However, the vast and fragmented nature of the information required to effectively support these development processes poses a challenge for the numerous stakeholders involved. In this paper, we demonstrate how key features of the Malware Information Sharing Platform (MISP) can be leveraged to systematically collect and structure vulnerability-related information for medical devices. We propose tailored structures, objects, and taxonomies specific to medical devices, facilitating a standardized data representation that enhances the security-by-design development of these devices.
2025
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore IINF-03/A - Telecomunicazioni
English
CTI
Cybersecurity
Medical devices
MISP
Security-by-design
Raso, E., Nanni, F., Lestini, F., Bracciale, L., Panico, G., Bianchi, G., et al. (2025). Improving vulnerability management for security-by-design of medical devices. SENSORS, 25(14) [10.3390/s25144418].
Raso, E; Nanni, F; Lestini, F; Bracciale, L; Panico, G; Bianchi, G; Orengo, G; Marrocco, G; Loreti, P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/437043
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