True random number generators (TRNG) sample random physical processes to create large
amounts of random numbers for various use cases, including security-critical cryptographic …

Random number generation is an important task in a wide variety of critical applications
including cryptographic algorithms, scientific simulations, and industrial testing tools. True …

We propose a new DRAM-based true random number generator (TRNG) that leverages
DRAM cells as an entropy source. The key idea is to intentionally violate the DRAM access …

A True Random Number Generator (TRNG) is an important security primitive used in a
variety of applications including cryptographic algorithms, communication systems …

True random number generators (TRNGs) are important as a basis for computer security.
Though there are some TRNGs composed of analog circuit, the use of digital circuits is …

This paper is a contribution to the theory of true random number generators based on
sampling phase jitter in oscillator rings. After discussing several misconceptions and …

Memory-centric architecture, which bridges the gap between compute and memory, is
considered as a promising solution to tackle the memory wall and the power wall. Such …

True random number generators (TRNGs) are needed for a variety of security applications
and protocols. The quality (randomness) of TRNGs depends on sensitivity to random noise …

The DRAM substrate is becoming increasingly more vulnerable to Rowhammer as we move
to smaller technology nodes. We introduce ProTRR, the first principled in-DRAM Target Row …

In this paper we present a novel true random number generator based on high-precision
edge sampling. We use two novel techniques to increase the throughput and reduce the …