Hardware Random Number Generator Using FPGA
DOI:
https://doi.org/10.13052/2245-1439.841Keywords:
Ring oscillator, Linear Hybrid Cellular Automata, Field Programmable Gate Array, Diehard TestAbstract
Random numbers are employed in wide range of cryptographic applications. Output of an asynchronous sampling of ring oscillators can be used as the source of randomness and Linear Hybrid CellularAutomata is used to improve the quality of random data. FPGA is an ideal platform for the implementation of random number generator for cryptographic applications. The circuit described in this paper has been implemented on a highly efficient FPGA board which generated a 32-bit random number at a frequency of 125 MHz. The generated sequence of random numbers were subjected to Diehard test and NIST test for testing randomness and found to pass these tests. These tests are a battery of statistical tests for measuring the quality of a random number generator.
Downloads
References
Saichand, V., Arumugam, S. and Mohankumar, N., 2008, November.
FPGA realization of activation function for artificial neural networks.
In Intelligent Systems Design and Applications, 2008. ISDA’08. Eighth
International Conference on (Vol. 3, pp. 159–164). IEEE.
Baetoniu, C., High speed true random number generators in xilinx fpgas.
Online]. Dosegljivo:http://forums.xilinx.com/xlnx/attachments/xlnx/ED
K/27322/1/HighSpeedTrueRandomNumberGenerators inXilinxFPGAs.
pdf. [Dostopano 12. 8. 2016].
Johnson, A. P., Chakraborty, R. S. and Mukhopadyay, D., 2017. An
Improved DCM- Based Tunable True Random Number Generator for
Xilinx FPGA. IEEE Transactions on Circuits and Systems II: Express
Briefs, 64(4), pp. 452–456.
Mandal, M. K. and Sarkar, B. C., 2010. Ring oscillators: Characteristics
and applications. Vancouver.
Hajimiri,A., Limotyrakis, S. and Lee,T. H., 1999. Jitter and phase noise in
ring oscillators. IEEE Journal of Solid-state circuits, 34(6), pp. 790–804.
Shanmuga Sundaram, P., 2010. Development of a FPGA-based True
Random Number Generator for Space Applications.
Zhang, S., Byrne, R., Muzio, J. C. and Miller, D. M., 1995. Quantitative
analysis for linear hybrid cellular automata and LFSR as built-in selftest
generators for sequential faults. Journal of Electronic Testing, 7(3),
pp. 209–221.
Stipevi, M. and Ko, K., 2014. True random number generators. In Open
Problems in Mathematics and Computational Science (pp. 275–315).
Springer International Publishing.
Toza, S. and Matuszewski, 2014, September. A true random number
generator using ring oscillators and SHA-256 as post-processing. In
Signals and Electronic Systems (ICSES), 2014 International Conference
on (pp. 1–4). IEEE.
Schellekens, D., Preneel, B. and Verbauwhede, I., 2006, August. FPGA
vendor agnostic true random number generator. In Field Programmable
Logic and Applications, 2006. FPL’06. International Conference on
(pp. 1–6). IEEE.
Brown, Robert G., Dirk Eddelbuettel and David Bauer. “dieharder: A
Random Number Test Suite, 2007.” URLhttp://www. phy.duke.edu/rgb/
General/dieharder.php. C program archive dieharder, version 2.3.
