High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning

High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning

Abstract In smart manufacturing, logistics, and other inside settings where the Global Positioning System (GPS) doesn’t work, indoor positioning systems (IPS) are essential. Due to environmental complexity, signal noise, and possible data manipulation, traditional IPS techniques struggle with accura...

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Bibliographic Details
Main Authors: Mohammad Mazyad Hazzazi, Prashant Kumar Shukla, Piyush Kumar Shukla, Fahad Alblehai, Sameer Nooh, Mohd Asif Shah
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Indoor positioning system
Galois field cryptography
QR codes
Blockchain technology
Deep learning
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Online Access:https://doi.org/10.1038/s41598-025-97715-8
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https://doi.org/10.1038/s41598-025-97715-8

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