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Related Experiment Video

Updated: Jul 15, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Physical Layer Authenticated Image Encryption for IoT Network Based on Biometric Chaotic Signature for MPFrFT OFDM

Esam A A Hagras1, Saad Aldosary2, Haitham Khaled3

  • 1Faculty of Engineering, Delta University for Science and Technology, Gamasa 35712, Egypt.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary

A novel physical layer authenticated encryption scheme using multi-parameter fractional Fourier transform-Orthogonal frequency division multiplexing (MP-FrFT-OFDM) enhances secure image transmission in IoT networks. This system utilizes a dynamic chaotic biometric signature generator for robust, high-security encryption.

Keywords:
IoTdynamic chaotic biometric signatureencryptionphysical layer security

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Area of Science:

  • Cybersecurity
  • Information Theory
  • Signal Processing

Background:

  • The Internet of Things (IoT) network requires enhanced security for image transmission.
  • Existing encryption methods face challenges in providing robust authentication and confidentiality.

Purpose of the Study:

  • To propose a new physical layer authenticated encryption (PLAE) scheme for secure image transmission over IoT networks.
  • To design a robust dynamic chaotic biometric signature (DCBS) generator for creating large, secure keys.

Main Methods:

  • A multi-parameter fractional Fourier transform-Orthogonal frequency division multiplexing (MP-FrFT-OFDM) scheme was developed.
  • A new multi-cascaded chaotic modular fractional sine map (MCC-MF sine map) was designed and analyzed.
  • A dynamic chaotic biometric signature (DCBS) generator was created using biometric data and the MCC-MF sine map for dynamic secret key generation.

Main Results:

  • The DCBS generator produces a key space of 2^2200, ensuring confidentiality and authentication.
  • The proposed DCBS-MP-FrFT-OFDM cryptosystem demonstrated robustness against common signal processing attacks.
  • High security levels were achieved for image encryption applications in the IoT network.

Conclusions:

  • The developed DCBS-MP-FrFT-OFDM cryptosystem offers a significant advancement in secure image transmission for IoT.
  • The scheme provides strong confidentiality, authentication, and robustness against attacks.
  • This approach is well-suited for high-security image encryption within IoT environments.