Chaotic-map based authenticated security framework with privacy preservation for remote point-of-care

Area of Science:

• Computer Science
• Information Security
• Telemedicine

Background:

• The COVID-19 pandemic highlights the need for advanced remote healthcare solutions.
• Wireless Multimedia Sensor Networks (WMSNs) are crucial for remote medical point-of-care (RM-PoC) systems, enabling real-time patient monitoring.
• Existing RM-PoC systems face significant security and privacy challenges when transmitting sensitive data over public networks.

Purpose of the Study:

• To propose a novel Single User Sign-In (SUSI) mechanism for WMSN-based RM-PoC systems.
• To enhance the privacy preservation and security of multimedia data in remote healthcare.
• To ensure user anonymity and untraceability within the RM-PoC system.

Main Methods:

• A new SUSI mechanism is designed, incorporating a chaotic map for secure session key agreement and mutual authentication.
• The system utilizes dynamic identities to provide user anonymity and untraceability.
• Security is validated through informal and formal analysis using the real-or-random (RoR) model.

Main Results:

• The proposed SUSI mechanism ensures privacy preservation and better protection of multimedia data.
• It achieves efficient security through negotiation of a shared session key for data encryption/decryption.
• The system demonstrates reduced computation, communication, and storage costs compared to traditional methods like ECC and RSA.

Conclusions:

• The SUSI mechanism offers a robust solution for securing WMSN-based RM-PoC systems against privacy and security threats.
• It provides significant improvements in security efficiency, user anonymity, and system resource utilization.
• Simulation results using NS3 confirm the scheme's effectiveness in terms of transmission delay, throughput, and packet delivery ratio.