Analog-to-digital converters

Implementation and Statistical Characterization of High Efficiency True Random Number Generators (RNGs) for Cryptographic Applications

Wed, Jul 17 2024

Random number generation Cryptography Analog-to-digital converters chaos

Practical implementations of RNGs can be classified into two major categories, namely pseudo-RNGs and physical-RNGs. Pseudo-RNGs are deterministic, numeric algorithms that expand short seeds into long bit sequences. Conversely, physical-RNGs rely on microscopic processes resulting in macroscopic observables which can be regarded as random noise (quantum, thermal,…). Pseudo-RNGs generally depart more from the ideal specifications: are based on finite memory algorithms, thus exhibit periodic behaviors and generate correlated samples and are therefore unsuitable for data security and cryptography

Xiaodong Li

Visiting Student (former), Electrical and Computer Engineering

phase retrieval Sparse Sampling Analog-to-digital converters

Visiting student for 6 months duration (Oct 2023 – Mar 2024) at the Information Science Lab (ISL), in the Electrical and Computer Engineering (ECE), Computer, Electrical and Mathematical Science and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST).