# Lightweight three-factor authentication protocol for 6G-enabled healthcare systems using Chebyshev chaotic maps and BioHashing

**Authors:** Amr Magdy Abbas, Mohamed E. Nasr, Roayat Ismail Abdelfatah

PMC · DOI: 10.1038/s41598-025-31701-y · Scientific Reports · 2026-01-08

## TL;DR

This paper introduces a secure and efficient three-factor authentication protocol for 6G healthcare systems using chaotic maps and biometrics.

## Contribution

A novel three-factor authentication protocol using Chebyshev chaotic maps and BioHashing for 6G healthcare systems is proposed.

## Key findings

- The protocol achieves an average authentication time of 0.00354 ms.
- It reduces storage cost by 57% compared to existing methods.
- Formal verification confirms resilience against replay and man-in-the-middle attacks.

## Abstract

In the evolving field of intelligent healthcare systems, secure and efficient communication is critical. This paper proposes a three-factor authentication protocol designed for 6G-enabled healthcare environments that merges smart cards, passwords, and biometrics to ensure robust security. To enhance performance, the protocol makes use of Chebyshev chaotic maps for key generation and lightweight encryption techniques. It introduces a fast authentication mechanism through parameter reuse achieving reduced latency and eliminates the need for a pre-established secure channel during registration, making deployment more practical. Furthermore, the scheme incorporates a certificate-less, user-centric framework for multi-server healthcare systems. Formal security verification using Scyther confirms the protocol’s resilience to various attacks, including replay, man-in-the-middle, and impersonation attacks. Comparative analysis demonstrates its effectiveness in terms of security, communication efficiency, and computational cost, achieving an average authentication time of 0.00354 ms and a 57% reduction in storage cost. These results make it a viable solution for healthcare applications in resource-constrained and latency-sensitive environments.

## Full-text entities

- **Diseases:** CDHP (MESH:C000719218), respiratory depression (MESH:D012131), ID (MESH:D009105), DoS (MESH:C537495)
- **Chemicals:** Bi (MESH:D001729), T (MESH:D014316), Ti (MESH:D014025)
- **Species:** Pi [taxon 1985362], Mesomycoplasma hyopneumoniae (species) [taxon 2099], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12789485/full.md

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12789485/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12789485/full.md

---
Source: https://tomesphere.com/paper/PMC12789485