Pseudo Random Number Generation Using Hardware Implementation of Elementary Cellular Automata

dc.contributor.advisorSalman, Karim
dc.contributor.authorSchenck, William
dc.contributor.committeememberSbenaty, Saleh
dc.contributor.committeememberBoles, Walter
dc.contributor.departmentEngineering Technologyen_US
dc.date.accessioned2016-12-21T20:25:46Z
dc.date.available2016-12-21T20:25:46Z
dc.date.issued2016-10-28
dc.description.abstractStephen Wolfram suggested cellular automata may be a good candidate for
dc.description.abstractgenerating 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.abstractautomation) 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.description.degreeM.S.
dc.identifier.urihttp://jewlscholar.mtsu.edu/handle/mtsu/5163
dc.publisherMiddle Tennessee State University
dc.subject.umiComputer engineering
dc.thesis.degreegrantorMiddle Tennessee State University
dc.thesis.degreelevelMasters
dc.titlePseudo Random Number Generation Using Hardware Implementation of Elementary Cellular Automata
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Schenck_mtsu_0170N_10714.pdf
Size:
1.3 MB
Format:
Adobe Portable Document Format

Collections