FogTrust: A Lightweight Mutual Authentication and Key Agreement Protocol for Fog–IoT-Based E-Healthcare Environments

Authors

  • Meriam FARISS LabSIV, Computer Science Department, Faculty of Science Agadir, Ibn Zohr University, Morocco
  • Ahmed TOUMANARI MAISI, ENSA Agadir, Ibn Zohr University, Morocco

DOI:

https://doi.org/10.19139/soic-2310-5070-4129

Keywords:

mutual authentication, access control, ecc, key agreement, puf, iot, fog computing, biometrics

Abstract

Internet of Things (IoT) is nowadays an important component of the E-healthcare systems, enabling real-time patient status tracking in addition to highly effective medical services. Nonetheless, this integration of IoT technologies represent important security and performance challenges. We develop FogTrust, an optimized authentication and cryptographic key agreement protocol for fog–based E-Healthcare environments, founded on Elliptic Curve algorithms, biometric validation and Physical Unclonable Functions (PUFs). Our scheme ensures users, fog nodes and IoT devices anonymity and untraceability while withstanding several security attacks. Additionally, FogTrust provides a fine-grained access control phase where only authorized users are allowed to access confidential medical data. Additionally, we employ EdDSA to enhance signature efficiency and performance compared to traditional ECC-based signature schemes. FogTrust's formal security analysis is realized through the AVISPA Tool and the Scyther Tool that both demonstrate its robustness against various attacks. Along with its strong security features, FogTrust achieves high performance than alternative solutions, making it applicable in IoT devices known for there limited resources feature.

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Published

2026-09-24

How to Cite

FARISS, M., & TOUMANARI, A. (2026). FogTrust: A Lightweight Mutual Authentication and Key Agreement Protocol for Fog–IoT-Based E-Healthcare Environments. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-4129

Issue

Section

ICMICSA-V2 2025

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