A Lightweight Encryption Scheme Combined with Trust Management for Privacy-Preserving in Body Sensor Networks

Area of Science:

• Health Informatics
• Cybersecurity
• Mobile Computing

Background:

• The proliferation of smartphones and wireless body sensor networks (BSN) has driven the growth of mobile healthcare (m-Healthcare) for remote health monitoring.
• Key challenges in m-Healthcare include ensuring information security and preserving the privacy of personal health information (PHI).

Purpose of the Study:

• To propose a secure and privacy-preserving framework for m-Healthcare systems.
• To leverage opportunistic smartphone resources for processing intensive PHI during m-Healthcare emergencies with minimal privacy disclosure.

Main Methods:

• Implementation of a multilevel trust management system.
• Opportunistic gathering of smartphone computing power and energy for PHI processing.
• Introduction of efficient, lightweight encryption for low-trust users based on mixed ciphers and plaintext-ciphertext pairs.
• Enabling medical users to control participation in opportunistic computing for PHI processing.

Main Results:

• The proposed framework effectively utilizes distributed smartphone resources for emergency PHI processing.
• Lightweight encryption ensures data security for low-trust participants while maintaining high reliability.
• User-centric control over data processing participation is achieved.

Conclusions:

• The developed framework provides a secure and privacy-preserving solution for m-Healthcare.
• It addresses critical security and privacy challenges in pervasive health monitoring systems.
• The system enables efficient, user-controlled processing of sensitive health data.