Paper 2025/1858

Testing Security Equivalence in the Random Probing Model

Abstract

The random probing model is a theoretical model that abstracts the physical leakage of an embedded device running a cryptographic scheme with more realistic assumptions compared to the threshold probing model. It assumes that the wires of the target device leak their assigned values with probability $p$, and the said values may reveal information about secret data, which could lead to a security violation. From that, we can compute the probability $\epsilon$ that a side-channel adversary may learn secret data from any random combination of wires as a function of the number of wire combinations that breaches security with rate $p$. This model is used to evaluate the security of masked cryptographic implementations, or simply named circuits; and the research community has been focusing so far on approximating or estimating the probability $\epsilon$ for one circuit. Yet, no proposition has been made to quickly compare the probability $\epsilon$ of different circuits, e.g., a circuit and its optimized version. In this context, we present two statistical tests to make decisions about the level of security in the random probing model: the equivalence test compares the security of two circuits in terms of $\epsilon$'s and the superiority test decides whether the undetermined $\epsilon$ of one circuit falls below a security threshold $\epsilon_0$, both with quantified uncertainty about the computations of the probabilities $\epsilon$'s. The validity of these tests is proven mathematically sound and verified via empirical studies on small masked S-boxes.