With this work we provide further evidence that lattice-based cryptography is a promising
and efficient alternative to secure embedded applications. So far it is known for solid security …

Datacenters are facing increasing pressure to cap their carbon footprints at low cost. Recent
work has shown the significant environmental benefits of using renewable energy for …

The future of high-performance computing is likely to rely on the ability to efficiently exploit
huge amounts of parallelism. One way of taking advantage of this parallelism is to formulate …

We present a hardware Gaussian noise generator based on the Box-Muller method that
provides highly accurate noise samples. The noise generator can be used as a key …

Some excellent surveys of the Gaussian random number generators (GRNGs) from the
algorithmic perspective exist in the published literature to date (eg, Thomas et al.[2007]). In …

Post-Quantum Cryptography (PQC) will become soon the standard for many systems of the
future. With the advent of quantum computers, all encrypted communications based on …

A vast array of devices, ranging from industrial robots to self-driven cars or smartphones,
require increasingly sophisticated processing of real-world input data (image, voice …

In this paper, a novel method is being proposed to construct a substitution box or Boolean
function for block ciphers using Gaussian distribution and linear fractional transform. The …

Lattice-based public key cryptography often requires sampling from discrete Gaussian
distributions. In this paper we present an efficient hardware implementation of a discrete …

We present an automated methodology for producing hardware-based random number
generator (RNG) designs for arbitrary distributions using the inverse cumulative distribution …