Post-Quantum Cryptography Neural Network
<|reference_start|>Post-Quantum Cryptography Neural Network: 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.<|reference_end|>
@article{chen2024post-quantum,
    title={Post-Quantum Cryptography Neural Network},
    author={Abel C. H. Chen},
    journal={arXiv preprint arXiv:2402.16002},
    year={2024},
    doi={10.1109/ICSSES58299.2023.10201083},
    archivePrefix={arXiv},
    eprint={2402.16002},
    primaryClass={cs.CR cs.AI cs.LG}
}