preprint · arXiv (Cornell University) · 2024

Post-Quantum Cryptography Neural Network

Chen, Abel C. H.

Cited by 0Open access

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 this paper

APA 7

Chen, A. C. H. (2024). Post-Quantum Cryptography Neural Network. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2402.16002

MLA 9

Chen, Abel C. H. “Post-Quantum Cryptography Neural Network.” arXiv (Cornell University), 2024, https://doi.org/10.48550/arxiv.2402.16002.

Chicago

Chen, Abel C. H. 2024. “Post-Quantum Cryptography Neural Network.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.2402.16002.

Harvard

Chen, A.C.H. (2024) ‘Post-Quantum Cryptography Neural Network’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.2402.16002.

BibTeX

@misc{chen2024post,
  title = {{Post-Quantum Cryptography Neural Network}},
  author = {Chen, Abel C. H.},
  journal = {arXiv (Cornell University)},
  year = {2024},
  doi = {10.48550/arxiv.2402.16002}
}

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