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This chapter presents a comprehensive performance analysis of a passwordless authentication framework, specifically designed for mobile e-health systems. The primary goal is to assess the feasibility and efficiency of the EHEART authentication protocol by examining key metrics, such as energy consumption, memory utilization, and computational overhead. Recognizing the limitations of password-based methods in healthcare, especially regarding security and usability, the study focuses on developing an optimized, identity-based encryption protocol that meets the constraints of mobile health applications. The analysis includes evaluating the energy efficiency of critical processes like secure boot, encryption, and authentication on an Atmega328p microprocessor. Results indicate that the EHEART protocol achieves substantial reductions in energy consumption, particularly in secure boot and data transmission phases, making it well-suited for low-power devices. A comparison with other protocols demonstrates that EHEART maintains competitive energy efficiency while eliminating the need for external cryptographic hardware, thereby reducing costs and complexity. In terms of memory utilization, the lightweight identity-based encryption (IBE) algorithm used in EHEART reduces memory usage by over 65% compared to conventional IBE implementations. This reduction enables deployment on devices with limited memory resources, enhancing scalability and practicality for large-scale e-health networks. Additionally, the framework’s architecture eliminates third-party servers, directly connecting sensor nodes to mobile devices and e-health servers, which minimizes communication overhead and enhances data security. The findings confirm that the EHEART framework offers a viable solution for secure, efficient, and user-friendly authentication in mobile e-health systems. By addressing critical concerns of energy consumption, memory constraints, and user accessibility, this framework supports the growing adoption of digital health technologies while safeguarding patient data and improving the user experience.

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Performance Analysis of Mobile E-Health Authentication System

  • 章节

  • 发表日期：

    2026年

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  • Nazhatul Hafizah Kamarudin,
  • Yusnani Mohd Yussoff,
  • Tutut Herawan

摘要

This chapter presents a comprehensive performance analysis of a passwordless authentication framework, specifically designed for mobile e-health systems. The primary goal is to assess the feasibility and efficiency of the EHEART authentication protocol by examining key metrics, such as energy consumption, memory utilization, and computational overhead. Recognizing the limitations of password-based methods in healthcare, especially regarding security and usability, the study focuses on developing an optimized, identity-based encryption protocol that meets the constraints of mobile health applications. The analysis includes evaluating the energy efficiency of critical processes like secure boot, encryption, and authentication on an Atmega328p microprocessor. Results indicate that the EHEART protocol achieves substantial reductions in energy consumption, particularly in secure boot and data transmission phases, making it well-suited for low-power devices. A comparison with other protocols demonstrates that EHEART maintains competitive energy efficiency while eliminating the need for external cryptographic hardware, thereby reducing costs and complexity. In terms of memory utilization, the lightweight identity-based encryption (IBE) algorithm used in EHEART reduces memory usage by over 65% compared to conventional IBE implementations. This reduction enables deployment on devices with limited memory resources, enhancing scalability and practicality for large-scale e-health networks. Additionally, the framework’s architecture eliminates third-party servers, directly connecting sensor nodes to mobile devices and e-health servers, which minimizes communication overhead and enhances data security. The findings confirm that the EHEART framework offers a viable solution for secure, efficient, and user-friendly authentication in mobile e-health systems. By addressing critical concerns of energy consumption, memory constraints, and user accessibility, this framework supports the growing adoption of digital health technologies while safeguarding patient data and improving the user experience.