Securing Internet of Medical Things with Friendly-jamming schemes

Area of Science:

• Cybersecurity
• Wireless Communication
• Biomedical Engineering

Background:

• Internet of Medical Things (IoMT) offers flexible e-healthcare but faces security challenges due to sensor limitations.
• Conventional cryptography is often infeasible for IoMT devices owing to computational and energy constraints.
• Protecting sensitive patient data in IoMT is critical for privacy and trust.

Purpose of the Study:

• To investigate the application of friendly jamming (Fri-jam) schemes for securing IoMT data.
• To analyze the challenges of data security in IoMT environments.
• To propose Fri-jam as a viable, low-overhead security solution for medical sensors.

Main Methods:

• Analysis of IoMT data security vulnerabilities and challenges.
• Proposal and discussion of friendly jamming (Fri-jam) schemes for eavesdropping prevention.
• Exploration of Fri-jam integration with beamforming, SWIPT, and full duplexity.
• Development and evaluation of two case studies demonstrating Fri-jam in IoMT.

Main Results:

• Fri-jam schemes significantly reduce the risk of eavesdropping on confidential medical data.
• The proposed Fri-jam methods do not impose substantial computational overhead on medical sensors.
• Integration with advanced communication technologies like beamforming and SWIPT is feasible.
• Case studies confirm the effectiveness of Fri-jam in enhancing IoMT security.

Conclusions:

• Friendly jamming (Fri-jam) is a promising and efficient countermeasure for IoMT security.
• Fri-jam effectively mitigates eavesdropping risks without compromising legitimate data transmission.
• The integration of Fri-jam with modern communication techniques enhances its applicability in diverse IoMT scenarios.