Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring

Area of Science:

• Interdisciplinary research bridging cybersecurity and medical diagnostics.
• Exploration of information theory and signal processing in sensing.

Background:

• Side-channel sensing leverages unintended information leakage from systems.
• Established in cybersecurity (CYB), but underutilized in medical diagnostics and monitoring (MDM).
• Existing MDM methods may miss subtle, critical patient information.

Purpose of the Study:

• To review and compare side-channel sensing techniques in CYB and MDM.
• To establish a formal structure for side-channel sensing in MDM.
• To promote knowledge and technique transfer from CYB to MDM.

Main Methods:

• Systematic review of side-channel sensing applications in cybersecurity.
• Analysis of current practices and potential applications in medical diagnostics and monitoring.
• Development of a comparative framework for cross-domain applicability.

Main Results:

• Identified commonalities and differences in side-channel usage across CYB and MDM.
• Proposed a structured approach for implementing side-channel sensing in MDM.
• Highlighted transferable techniques and methodologies for medical applications.

Conclusions:

• Side-channel sensing offers significant potential for novel insights in medical diagnostics and monitoring.
• Formalizing its use in MDM, inspired by CYB, can unlock hidden patient information.
• Cross-domain collaboration can accelerate innovation in medical sensing technologies.