Obtaining True-Random Binary Numbers from a Weak Radioactive Source

Alkassar, Ammar; Nicolay, Thomas

doi:10.1007/11424826_67

Cited by 23 publications

(16 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using off-the-shelf semiconductor devices can simplify the design of random number generators. One example of such generators is given by (Alkassar et al, 2005) with a variation of the time interval method. Instead of comparing the time between pulses, the system reads a fast clock every time a pulse arrives.…”

Section: B Evolutionmentioning

confidence: 99%

See 1 more Smart Citation

Quantum random number generators

2017

View full text Add to dashboard Cite

Random numbers are a fundamental resource in science and engineering with important applications in simulation and cryptography. The inherent randomness at the core of quantum mechanics makes quantum systems a perfect source of entropy. Quantum random number generation is one of the most mature quantum technologies with many alternative generation methods. We discuss the different technologies in quantum random number generation from the early devices based on radioactive decay to the multiple ways to use the quantum states of light to gather entropy from a quantum origin. We also discuss randomness extraction and amplification and the notable possibility of generating trusted random numbers even with untrusted hardware using device independent generation protocols.

show abstract

Section: B Evolutionmentioning

confidence: 99%

“…In order to achieve a fast rate, the QRNG needs a highly radioactive source. The reviewed generators used Cobalt-60 (Isida and Ikeda, 1956), Strontium-90 (Schmidt, 1970b), Caesium-137 (Walker, 1996), Americium-241 (Alkassar et al, 2005) or Nickel-63 (Duggirala et al, 2010). This is highly inconvenient and requires improved safety measures.…”

Section: Limitationsmentioning

confidence: 99%

Quantum random number generators

2017

View full text Add to dashboard Cite

show abstract

“…In this implementation, Krypton-85 with a half-life of 10.73 years was used to generate an output random bit stream at 200 bps. Alkassar et al [57] improved over this implementation with the use of a constant time source to measure the inter-arrival time to generate one random bit per event. Using Americium-241, a data rate of 1,600 bps was reported in the work.…”

Section: Exponential Distribution Of Inter-arrival Timesmentioning

confidence: 99%

Radioisotope Thin-Film Powered Microsystems

Duggirala

Lal

Radhakrishnan

2010

MEMS Reference Shelf

View full text Add to dashboard Cite

“…True random number sequences can be extracted from the chaos, which occurs in semiconductor lasers [3], from randomness occurring in Josephson junctions in superconductive integrated circuits [4]. Other TRNGs are based on radioactive decay [5] or magnetic tunnel junctions [6]. However, these principles are not suitable for TRNGs, which are parts of systems on chip (SoC), usually fabricated in standard complementary metal-oxide-semiconductor (CMOS) processes on silicon substrates.…”

Section: Introductionmentioning

confidence: 99%

A True Random Number Generator with Time Multiplexed Sources of Randomness

Barri¹,

Vladimír²,

Vlastimil³

et al. 2018

RADIOENGINEERING

View full text Add to dashboard Cite

A true random number generator (TRNG) with time multiplexed metastability-based sources of randomness, presented in this paper, is capable of generating random bit sequences formed from noise present in the electronic circuit. An incorporated time multiplexer interleaves digitized random signals coming from sources of randomness and increases output data rate. The proposed TRNG was fabricated in a STMicroelectronics 130 nm bulk CMOS technology on an area of 0.029 mm 2. The quality of all random bit sequences has been verified by the FIPS and NIST statistical test suites. The fabricated TRNG generates random bit sequences up to the data rate of 20 Mb/s without any corrective mechanisms at power consumption of 72.48 µW. The changing environmental conditions do not influence the quality of random bit sequences.

show abstract

Obtaining True-Random Binary Numbers from a Weak Radioactive Source

Cited by 23 publications

References 10 publications

Quantum random number generators

Quantum random number generators

Radioisotope Thin-Film Powered Microsystems

A True Random Number Generator with Time Multiplexed Sources of Randomness

Contact Info

Product

Resources

About