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Physically secure and fog-enabled lightweight authentication scheme for WBAN.

Jegadeesan Subramani1, Arun Sekar Rajasekaran2, Arunkumar Balakrishnan3

  • 1Department of ECE, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India.

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|August 21, 2025
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Summary

This study introduces a secure authentication scheme for Wireless Body Area Networks (WBANs) using Physically Unclonable Functions and Fog Computing. The lightweight approach enhances data privacy and system resilience while reducing computational and communication overhead.

Keywords:
Data privacyFog computingSession key managementSystem resilienceWireless body area network

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Wireless Body Area Networks (WBANs) are crucial for remote healthcare and fitness monitoring.
  • Existing WBAN authentication methods suffer from security vulnerabilities and high computational costs.
  • Data manipulation, privacy breaches, and unauthorized access are significant concerns in WBANs.

Purpose of the Study:

  • To propose a lightweight, physically secure, fog-enabled authentication scheme for WBANs.
  • To enhance data privacy and system resilience in WBAN communication.
  • To address the limitations of current authentication protocols in terms of security and computational burden.

Main Methods:

  • Integration of Physically Unclonable Functions (PUFs) and Fog Computing.
  • Implementation of a two-phase approach: WBAN node registration and secure anonymous authentication.
  • Utilization of short-life session keys for mutual authentication between WBAN sensors and monitoring devices.

Main Results:

  • A significant reduction in computational overhead (64.33%) and communication overhead (29.58%) compared to existing protocols.
  • Enhanced data privacy and system resilience.
  • Demonstrated effectiveness against impersonation, replay, and unauthorized access attacks through BAN logic analysis.

Conclusions:

  • The proposed scheme offers a scalable and efficient solution for secure WBAN environments.
  • It effectively mitigates security risks associated with data manipulation and unauthorized access.
  • The integration of PUFs and Fog Computing provides a robust framework for future WBAN security.