Post-Quantum Cryptography Neural Network
Abstract
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.
Cite
@article{arxiv.2402.16002,
title = {Post-Quantum Cryptography Neural Network},
author = {Abel C. H. Chen},
journal= {arXiv preprint arXiv:2402.16002},
year = {2024}
}
Comments
2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES) 7-8 July 2023. The manuscript was written in Chinese and submitted on 10 March 2023, but it was rejected on 22 April 2023. The appeal was accepted on 24 February 2024