Document Type
Journal Article
Publication Title
Sensors
Publisher
MDPI
School
School of Engineering
RAS ID
62003
Funders
King Saud University
Abstract
In this paper, a new physical layer authenticated encryption (PLAE) scheme based on the multi-parameter fractional Fourier transform–Orthogonal frequency division multiplexing (MP-FrFT-OFDM) is suggested for secure image transmission over the IoT network. In addition, a new robust multi-cascaded chaotic modular fractional sine map (MCC-MF sine map) is designed and analyzed. Also, a new dynamic chaotic biometric signature (DCBS) generator based on combining the biometric signature and the proposed MCC-MF sine map random chaotic sequence output is also designed. The final output of the proposed DCBS generator is used as a dynamic secret key for the MPFrFT OFDM system in which the encryption process is applied in the frequency domain. The proposed DCBS secret key generator generates a very large key space of (Formula presented.). The proposed DCBS secret keys generator can achieve the confidentiality and authentication properties. Statistical analysis, differential analysis and a key sensitivity test are performed to estimate the security strengths of the proposed DCBS-MP-FrFT-OFDM cryptosystem over the IoT network. The experimental results show that the proposed DCBS-MP-FrFT-OFDM cryptosystem is robust against common signal processing attacks and provides a high security level for image encryption application. © 2023 by the authors.
DOI
10.3390/s23187843
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Hagras, E. A. A., Aldosary, S., Khaled, H., & Hassan, T. M. (2023). Physical layer authenticated image encryption for Iot network based on biometric chaotic signature for MPFrFT OFDM system. Sensors, 23(18), article 7843. https://doi.org/10.3390/s23187843