# Post-Quantum Cryptography Neural Network

arXiv: https://arxiv.org/abs/2402.16002 · HTML: https://mlsanity.com/paper/2402.16002/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 8 references that are in the map.
- First posted on arXiv 25 Feb 2024.

## Built on by (most cited first, 1 of 1)

- [Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities](https://mlsanity.com/paper/2412.12373/) (2024)

## Abstract (arXiv)

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.