Authenticated encryption (AE) is a cryptographic construction that simultaneously protects
confidentiality and integrity. A considerable amount of research has been devoted to the …

At CRYPTO'19, Gohr first introduces the deep learning-based cryptanalysis on round-
reduced SPECK. Using a deep residual network, Gohr trains several neural network-based …

The emergence of the Internet of Things (IoT) has enabled billions of devices that collect
large amounts of data to be connected. Therefore, IoT security has fundamental …

With the advancement of the quantum computing technologies, a large body of research
work is dedicated to revisit the security claims for ciphers being used. An adversary with …

A systematic approach to the fixed-key analysis of differential probabilities is proposed. It is
based on the propagation of 'quasidifferential trails', which keep track of probabilistic linear …

The cryptographic sponge is a popular method for hash function design. The construction is
in the ideal permutation model proven to be indifferentiable from a random oracle up to the …

The electronic control unit (ECU) broadcasts and receives data through the on-vehicle bus,
enabling the management of the vehicle's operations and associated functions …

Substitution boxes (S-Boxes) are essential elements of modern block ciphers, serving as
non-linear characteristics that enhance the resistance of these ciphers against cryptanalysis …

In CRYPTO 2019, Gohr first introduced a neural differential distinguisher for round-reduced
SPECK32/64 to distinguish ciphertext pairs with a specific input difference from random …

In this paper, we compare several non-tight degree evaluation methods ie, Boura and
Canteaut's formula, Carlet's formula as well as Liu's numeric mapping and division property …