On the additive index of the Diffie-Hellman mapping and the discrete logarithm
Pierre-Yves Bienvenu, Arne Winterhof
TL;DR
This work introduces and analyzes the additive index as a complexity measure for cryptographic maps over finite fields, focusing on the univariate Diffie-Hellman map $d_\gamma$ and the discrete-logarithm mapping $P$. By representing near-mappings with linearised polynomials and exploiting Weil bounds, square-counting results, and subgroup-sum estimates, the authors derive substantial lower bounds on the additive index across multiple regimes, including the principal case $T=q-1$ and the presence of up to $m$ discrepancies. They show that, under broad arithmetic conditions, the additive index grows quasi-polynomially in the field size (e.g., at least $C_ε q^{1-ε}/p$ for $d_\gamma$ and at least $q/(n+2)$ for $P$), and in some cases achieves the maximum $q$, highlighting the strong additive-structural complexity of these mappings. The results extend to small $T$ regimes (e.g., $T > q^ε$) and provide a spectrum of bounds that reinforce the security-relevant unpredictability of the additive-index measure for key cryptographic mappings in finite fields.
Abstract
Several complexity measures such as degree, sparsity and multiplicative index for cryptographic functions including the Diffie-Hellman mapping and the discrete logarithm in a finite field have been studied in the literature. In 2022, Reis and Wang introduced another complexity measure, the additive index, of a self-mapping of a finite field. In this paper, under certain conditions, we determine lower bounds on the additive index of the univariate Diffie-Hellman mapping and a self-mapping of $\mathbb{F}_q$ which can be identified with the discrete logarithm in a finite field.
