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Pseudo Random Number Generation Using Hardware Implementation of Elementary Cellular Automata

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dc.contributor.advisor Salman, Karim
dc.contributor.author Schenck, William
dc.date.accessioned 2016-12-21T20:25:46Z
dc.date.available 2016-12-21T20:25:46Z
dc.date.issued 2016-10-28
dc.identifier.uri http://jewlscholar.mtsu.edu/handle/mtsu/5163
dc.description.abstract Stephen Wolfram suggested cellular automata may be a good candidate for
dc.description.abstract generating suitable encrypted data. His work recommends that rule thirty was good enough for data encryption. The production of strong data encryption is the goal of anyone who desires the means of transmitting secure messages. Studies worldwide has generated numerous volumes of research. However, these studies are based on the use of computational machinery to produce these results. This project goes beyond the computational method of pseudo-random number generation. Through the use of VHDL, a working pseudo-random number generator can be designed and programmed into a FPGA device. A pseudo-random number generator (based around elementary cellular
dc.description.abstract automation) has been implemented and it was installed into a FPGA device. This working device produced results that matched the computational methods of a similar pseudorandom number generator.
dc.publisher Middle Tennessee State University
dc.title Pseudo Random Number Generation Using Hardware Implementation of Elementary Cellular Automata
dc.type Thesis
dc.contributor.committeemember Sbenaty, Saleh
dc.contributor.committeemember Boles, Walter
dc.thesis.degreelevel Masters
dc.thesis.degreegrantor Middle Tennessee State University
dc.subject.umi Computer engineering
dc.description.degree M.S.
dc.contributor.department Engineering Technology en_US


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