Raspberry Pi implemented with MATLAB simulation and communication of physiological signal-based fast chaff point...

Area of Science:

• Biomedical Engineering
• Cybersecurity
• Wireless Communication

Background:

• Wireless Body Area Networks (WBANs) are crucial for medical applications like implantable cardiac defibrillators (ICDs) and neuro-stimulators.
• Securing information within implantable medical devices (IMDs) is vital to prevent unauthorized access and control.
• Existing key agreement schemes in IMDs often rely on computationally intensive processes like chaff point generation.

Purpose of the Study:

• To develop a computationally efficient algorithm for fast chaff point generation in WBANs.
• To enhance the security and privacy of key agreement schemes in implantable medical devices (IMDs).
• To reduce the execution time and computational complexity of chaff point generation for WBANs.

Main Methods:

• Implementation of a Raspberry Pi with MATLAB simulation for a physiological signal-based fast chaff point generation algorithm (RPSC).
• Optimization of the chaff point generation process by reducing candidate points.
• Utilizing Raspberry Pi Pro 3 (RPi3) hardware modules as IMD and programmer devices for real-time implementation.

Main Results:

• The RPSC algorithm achieved a reduced algorithmic complexity of O(n^2), an improvement over the existing O(n^3).
• Demonstrated significant speedup: 206x over Clancy's, 130x over Khalil's, and 93x over Nguyen's algorithms for generating 504 chaff points.
• Completed chaff point generation within 0.7 seconds, showcasing a substantial reduction in computation duration.

Conclusions:

• The RPSC algorithm offers a practical and efficient solution for securing key agreement schemes in WBANs.
• The proposed method enhances the security of IMDs by optimizing the computationally intensive chaff point generation process.
• Real-time implementation on RPi3 hardware validates the algorithm's effectiveness for practical WBAN applications.