Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Vincent Omollo Nyangaresi1,2, Zaid Ameen Abduljabbar3,4,5, Keyan Abdul-Aziz Mutlaq6,7

  • 1Department of Computer Science and Software Engineering, Jaramogi Oginga Odinga University of Science and Technology, Bondo, 40601, Kenya.

Scientific Reports
|July 13, 2024
PubMed
Summary

This study introduces a secure and energy-efficient authentication scheme for smart cities using biometrics and error correction codes. The novel approach enhances security and reduces computational overhead by 20.7% compared to existing methods.

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