Semilinear transformations in coding theory and their application to cryptography

In this paper, we put forward a brand-new idea of masking the algebraic structure of linear codes used in code-based cryptography. Specially, we introduce the so-called semilinear transformations in coding theory, make a thorough study on their algebraic properties and then creatively apply them to the construction of code-based cryptosystems. Note that $\mathbb{F}_{q^m}$ can be viewed as an $\mathbb{F}_q$-linear space of dimension $m$, a semilinear transformation $\varphi$ is therefore defined to be an $\mathbb{F}_q$-linear transformation over $\mathbb{F}_{q^m}$. Then we impose this transformation to a linear code $\mathcal{C}$ over $\mathbb{F}_{q^m}$. Apparently $\varphi(\mathcal{C})$ forms an $\mathbb{F}_q$-linear space, but generally does not preserve the $\mathbb{F}_{q^m}$-linearity according to our analysis. Inspired by this observation, a new technique for masking the structure of linear codes is developed in this paper. Meanwhile, we endow the secret code with the so-called partial cyclic structure to make a reduction in public-key size. Compared to some other code-based cryptosystems, our proposal admits a much more compact representation of public keys. For instance, 1058 bytes are enough to reach the security of 256 bits, almost 1000 times smaller than that of the Classic McEliece entering the third round of the NIST PQC project.