Abstract | ||
---|---|---|
True random number generators (TRNGs) are extensively used in cryptography, simulations and statistics. Metastability is a way to generate true random numbers. By using electromagnetic radiation, a flip-flop in a metastable state can be manipulated to a known state. In this work, we introduce and analyze the concept of a randomized bit-cell, being able to simultaneously produce random numbers and detect active nonintrusive attacks. The experimental comparison with a standard TRNG yields an 11.5 times better distribution of zeros and ones while the TRNGs are under attack. The concept is extended by using a corrector. A perfect distribution can be gained at the expense of a delay which is proportional to the quality of the random source. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/DepCoS-RELCOMEX.2008.10 | Szklarska Poreba |
Keywords | Field | DocType |
random source,true random number generator,perfect distribution,known state,true random number,electromagnetic radiation,metastable state,random number,active nonintrusive attack,times better distribution,built-in attack detection,testing,frequency,computer science,random number generation,statistical distribution,cryptography,statistical distributions,weather forecasting,predictive models | Convolution random number generator,Cryptography,Computer science,Algorithm,Theoretical computer science,Probability distribution,Metastability,Random number generation,Flip-flop,Random function | Conference |
ISBN | Citations | PageRank |
978-0-7695-3179-3 | 1 | 0.45 |
References | Authors | |
2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bernhard Fechner | 1 | 78 | 12.18 |
Andre Osterloh | 2 | 10 | 4.49 |