Advanced Cryptography Using Nanoantennas in Wireless Communication

This work presents an end-to-end encryption–decryption framework for securing electromagnetic signals processed through a nanoantenna. The system integrates amplitude normalization, uniform quantization, and Reed–Solomon forward error correction with key establishment via ECDH and bitwise XOR encryption. Two signal types were evaluated: a synthetic Gaussian pulse and a synthetic voice waveform, representing low- and high-entropy data, respectively. For the Gaussian signal, reconstruction achieved an RMSE = 11.42, MAE = 0.86, PSNR = 26.97 dB, and Pearson’s correlation coefficient = 0.8887. The voice signal exhibited elevated error metrics, with an RMSE = 15.13, MAE = 2.52, PSNR = 24.54 dB, and Pearson correlation = 0.8062, yet maintained adequate fidelity. Entropy analysis indicated minimal changes between the original signal and the reconstructed signal. Furthermore, avalanche testing confirmed strong key sensitivity, with single-bit changes in the key altering approximately 50% of the ciphertext bits. The findings indicate that the proposed pipeline ensures high reconstruction quality with lightweight encryption, rendering it suitable for environments with limited computational resources.

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Published
2025-08-22
DOI
https://doi.org/10.3390/info16090720
Primary Topic
Plasmonic and Surface Plasmon Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Advanced Cryptography Using Nanoantennas in Wireless Communication

P. Santos, Ricardo A. Marques Lameirinhas, João Paulo N. Torres, Francisco Gonçalves Alves
Information
Plasmonic and Surface Plasmon Research
article

Advanced Cryptography Using Nanoantennas in Wireless Communication

P. Santos, Ricardo A. Marques Lameirinhas, João Paulo N. Torres, Francisco Gonçalves Alves
article en

Abstract

This work presents an end-to-end encryption–decryption framework for securing electromagnetic signals processed through a nanoantenna. The system integrates amplitude normalization, uniform quantization, and Reed–Solomon forward error correction with key establishment via ECDH and bitwise XOR encryption. Two signal types were evaluated: a synthetic Gaussian pulse and a synthetic voice waveform, representing low- and high-entropy data, respectively. For the Gaussian signal, reconstruction achieved an RMSE = 11.42, MAE = 0.86, PSNR = 26.97 dB, and Pearson’s correlation coefficient = 0.8887. The voice signal exhibited elevated error metrics, with an RMSE = 15.13, MAE = 2.52, PSNR = 24.54 dB, and Pearson correlation = 0.8062, yet maintained adequate fidelity. Entropy analysis indicated minimal changes between the original signal and the reconstructed signal. Furthermore, avalanche testing confirmed strong key sensitivity, with single-bit changes in the key altering approximately 50% of the ciphertext bits. The findings indicate that the proposed pipeline ensures high reconstruction quality with lightweight encryption, rendering it suitable for environments with limited computational resources.

InformationVol. 16(9)
Portuguese Military Academy (PT), Instituto de Telecomunicações (PT)
Instituto de Telecomunicações, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 79%
Plasmonic and Surface Plasmon Research
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