Title
A True Random Number Generator with Built-in Attack Detection
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 Fechner17812.18
Andre Osterloh2104.49