Post-Quantum Cryptography Neural Network
Abel C. H. Chen
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.