Post-Quantum Cryptography Neural Network

Fuente: arXiv
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Autor principal: Chen, Abel C. H.
Formato: Preprint
Publicado: 2024
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author Chen, Abel C. H.
author_facet Chen, Abel C. H.
contents In recent years, quantum computers and Shor quantum algorithm have posed a threat to current mainstream asymmetric cryptography methods (e.g. RSA and Elliptic Curve Cryptography (ECC)). Therefore, it is necessary to construct a Post-Quantum Cryptography (PQC) method to resist quantum computing attacks. Therefore, this study proposes a PQC-based neural network that maps a code-based PQC method to a neural network structure and enhances the security of ciphertexts with non-linear activation functions, random perturbation of ciphertexts, and uniform distribution of ciphertexts. In practical experiments, this study uses cellular network signals as a case study to demonstrate that encryption and decryption can be performed by the proposed PQC-based neural network with the uniform distribution of ciphertexts. In the future, the proposed PQC-based neural network could be applied to various applications.
format Preprint
id arxiv_https___arxiv_org_abs_2402_16002
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Post-Quantum Cryptography Neural Network
Chen, Abel C. H.
Cryptography and Security
Artificial Intelligence
Machine Learning
In recent years, quantum computers and Shor quantum algorithm have posed a threat to current mainstream asymmetric cryptography methods (e.g. RSA and Elliptic Curve Cryptography (ECC)). Therefore, it is necessary to construct a Post-Quantum Cryptography (PQC) method to resist quantum computing attacks. Therefore, this study proposes a PQC-based neural network that maps a code-based PQC method to a neural network structure and enhances the security of ciphertexts with non-linear activation functions, random perturbation of ciphertexts, and uniform distribution of ciphertexts. In practical experiments, this study uses cellular network signals as a case study to demonstrate that encryption and decryption can be performed by the proposed PQC-based neural network with the uniform distribution of ciphertexts. In the future, the proposed PQC-based neural network could be applied to various applications.
title Post-Quantum Cryptography Neural Network
topic Cryptography and Security
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2402.16002