DNA synthesis for true random number generation

Nano-Intrinsic True Random Number Generation

Recent advances in predictive data analytics and ever growing digitalization and connectivity with explosive expansions in industrial and consumer Internet-of-Things (IoT) has raised significant concerns about security of people’s identities and data. It has created close to ideal environment for adversaries in terms of the amount of data that could be used for modeling and also greater accessi...

Quantum random flip-flop and its applications in random frequency synthesis and true random number generation.

In this work, a new type of elementary logic circuit, named random flip-flop (RFF), is proposed, experimentally realized, and studied. Unlike conventional Boolean logic circuits whose action is deterministic and highly reproducible, the action of a RFF is intentionally made maximally unpredictable and, in the proposed realization, derived from a fundamentally random process of emission and dete...

True Random Number Generation for Cryptography, on the Cheap

This paper describes an open system for building a True Random Number Generator and using it for cryptographic purposes. The main components of this system are an Arduino Uno and OpenSSL. Introduction: Random number generation is an important part of cryptography, because flaws in random number generation can be used by attackers to compromise encryption systems that are algorithmically secure....

True Random Number Generators

Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulation, industrial testing and labeling, hazard games, gambling, etc. Our assumption has been that random numbers cannot be computed; because digital computers operate deterministically, they cannot produce random numbers. Instead, random numbers are best obtained using physical (true) random number generator...

On-Chip True Random Number Generation in Nanometer Cmos