IoT-Based Multi-Sensor Healthcare Architectures and a Lightweight-Based Privacy Scheme

Area of Science:

• Healthcare Technology
• Cybersecurity
• Embedded Systems

Background:

• Health 4.0 integrates Internet of Things (IoT) devices for enhanced healthcare applications, improving efficiency and accessibility.
• IoT in healthcare presents significant security challenges, particularly concerning resource-constrained devices and wireless communications.
• Existing security architectures may not be suitable for the unique demands of IoT-based multi-sensor health systems.

Purpose of the Study:

• To provide an overview of IoT integration in healthcare and analyze smart health frameworks.
• To address the security requirements of IoT components and wireless communications in healthcare.
• To introduce a novel, lightweight security scheme for resource-constrained IoT health devices.

Main Methods:

• Methodical analysis of existing smart health frameworks and their security demands.
• Development and implementation of a lightweight security scheme utilizing the LEAIoT cryptographic primitive.
• Hardware-based design and performance evaluation of the proposed security scheme.

Main Results:

• The proposed hardware-based LEAIoT scheme demonstrates a 99.9% increase in key generation speed and a 96.2% increase in encryption/decryption speed compared to CPU-based implementations.
• The security scheme offers lightweight and flexible implementation suitable for energy-constrained devices.
• Achieved up to 87.9% lower hardware utilization compared to other common hardware-based cryptography architectures.

Conclusions:

• The LEAIoT-based security scheme provides an efficient and effective solution for securing IoT in healthcare.
• The proposed hardware design significantly enhances performance metrics crucial for real-time health monitoring.
• This approach offers a competitive and scalable security solution for the evolving landscape of Health 4.0.