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A random number generator based on insulator-to-metal electronic phase transitions
- Source :
- 2017 75th Annual Device Research Conference (DRC).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Random number generators (RNG) are a fundamental hardware component in modern cryptographic systems [1]. The generation of random numbers can be subdivided into two classes, pseudo-RNGs and hardware RNGs. In pseudo-RNGs software algorithms are implemented on deterministic hardware but are dependent on a set of initial values or “seed”, which reduces the security. In contrast, hardware RNGs generate random numbers from a naturally occurring physical phenomenon, such as thermal noise. However, implementations often suffer from large silicon footprints due to the need to create resistor-amplifier-ADC chains [2] or bias removal circuits [3]. In this work, we experimentally demonstrate a compact and scalable 1T1R based RNG by harnessing the inherent stochasticity in the insulator-to-metal phase transition (IMT) in vanadium dioxide (VO 2 ).
- Subjects :
- 010302 applied physics
Phase transition
Materials science
Random number generation
business.industry
Stochastic process
Cryptography
02 engineering and technology
01 natural sciences
Computational science
Set (abstract data type)
Software
0103 physical sciences
Scalability
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
020201 artificial intelligence & image processing
business
Electronic circuit
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 75th Annual Device Research Conference (DRC)
- Accession number :
- edsair.doi...........a230f417149ff020b6ee0da7d53f5d66
- Full Text :
- https://doi.org/10.1109/drc.2017.7999423