International Association
for Cryptologic Research

The random probing model is a leakage model in which each wire of a circuit leaks with a given probability $p$. This model enjoys practical relevance thanks to a reduction to the noisy leakage model, which is admitted as the right formalization for power and electromagnetic side-channel attacks. In addition, the random probing model is much more convenient than the noisy leakage model to prove the security of masking schemes. In a recent work, Ananth, Ishai and Sahai (CRYPTO 2018) introduce a nice expansion strategy to construct random probing secure circuits. Their construction tolerates a leakage probability of $2^{-26}$, which is the first quantified achievable leakage probability in the random probing model. In a follow-up work, Bela\"id, Coron, Prouff, Rivain and Taleb (CRYPTO 2020) generalize their idea and put forward a complete and practical framework to generate random probing secure circuits. The so-called expanding compiler can bootstrap simple base gadgets as long as they satisfy a new security notion called \emph{random probing expandability} (RPE). They further provide an instantiation of the framework which tolerates a $2^{-8}$ leakage probability in complexity $\mathcal{O}(\kappa^{7.5})$ where $\kappa$ denotes the security parameter. In this paper, we provide an in-depth analysis of the RPE security notion. We exhibit the first upper bounds for the main parameter of a RPE gadget, which is known as the \emph{amplification order}. We further show that the RPE notion can be made tighter and we exhibit strong connections between RPE and the \emph{strong non-interference} (SNI) composition notion. We then introduce the first generic constructions of gadgets achieving RPE for any number of shares and with nearly optimal amplification orders and provide an asymptotic analysis of such constructions. Last but not least, we introduce new concrete constructions of small gadgets achieving maximal amplification orders. This allows us to obtain much more efficient instantiations of the expanding compiler: we obtain a complexity of $\mathcal{O}(\kappa^{3.9})$ for a slightly better leakage probability, as well as $\mathcal{O}(\kappa^{3.2})$ for a slightly lower leakage probability.

The masking countermeasure is widely used to protect cryptographic implementations against side-channel attacks. While many masking schemes are shown to be secure in the widely deployed probing model, the latter raised a number of concerns regarding its relevance in practice. Offering the adversary the knowledge of a fixed number of intermediate variables, it does not capture the so-called horizontal attacks which exploit the repeated manipulation of sensitive variables. Therefore, recent works have focused on the random probing model in which each computed variable leaks with some given probability p. This model benefits from fitting better the reality of the embedded devices. In particular, Belaïd, Coron, Prouff, Rivain, and Taleb (CRYPTO 2020) introduced a framework to generate random probing circuits. Their compiler somehow extends base gadgets as soon as they satisfy a notion called random probing expandability (RPE). A subsequent work from Belaïd, Rivain, and Taleb (EUROCRYPT 2021) went a step forward with tighter properties and improved complexities. In particular, their construction reaches a complexity of O(κ^{3.9}), for a κ-bit security, while tolerating a leakage probability of p = 2^{−7.5}. In this paper, we generalize the random probing expansion approach by considering a dynamic choice of the base gadgets at each step in the expansion. This approach makes it possible to use gadgets with high number of shares –which enjoy better asymptotic complexity in the expansion framework– while still tolerating the best leakage rate usually obtained for small gadgets. We investigate strategies for the choice of the sequence of compilers and show that it can reduce the complexity of an AES implementation by a factor 10. We also significantly improve the asymptotic complexity of the expanding compiler by exhibiting new asymptotic gadget constructions. Specifically, we introduce RPE gadgets for linear operations featuring a quasi-linear complexity, as well as, an RPE multiplication gadget with linear number of multiplications. These new gadgets drop the complexity of the expanding compiler from quadratic to quasi-linear.

Masking countermeasure is among the most powerful countermeasures to counteract side-channel attacks. Leakage models have been exhibited to theoretically reason on the security of such masked implementations. So far, the most widely used leakage model is the probing model defined by Ishai, Sahai, and Wagner at (CRYPTO 2003). While it is advantageously convenient for security proofs, it does not capture an adversary exploiting full leakage traces as, e.g., in horizontal attacks. Those attacks target the multiple manipulation of the same share to average a constant noise and recover the corresponding value. To capture a wider class of attacks another model was introduced and is referred to as the random probing model. From a leakage parameter p, each wire of the circuit leaks its value with probability p. While this model much better reflects the physical reality of side channels, it requires more complex security proofs and does not yet come with practical constructions. In this paper, we define the first framework dedicated to the random probing model. We provide an automatic tool, called VRAPS, to quantify the random probing security of a circuit from its leakage probability. We also formalize a composition property for secure random probing gadgets and exhibit its relation to the strong non-interference (SNI) notion used in the context of probing security. We then revisit the expansion idea proposed by Ananth, Ishai, and Sahai (CRYPTO 2018) and introduce a compiler that builds a random probing secure circuit from small base gadgets achieving a random probing expandability property. We instantiate this compiler with small gadgets for which we verify the expected properties directly from our automatic tool. Our construction can tolerate a leakage probability up to 2^−8, against 2^−25 for the previous construction, with a better asymptotic complexity.