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dc.contributor.advisorDinolt, George
dc.contributor.advisorStănică, Pantelimon
dc.contributor.authorJustamante, David
dc.dateMar-17
dc.date.accessioned2017-05-10T16:31:40Z
dc.date.available2017-05-10T16:31:40Z
dc.date.issued2017-03
dc.identifier.urihttp://hdl.handle.net/10945/52996
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.descriptionIncludes supplementary material
dc.descriptionReissued 30 May 2017 with correction to degree on title page.
dc.description.abstractRandomness is at the heart of today's computing. There are two categorical methods to generate random numbers: pseudorandom number generation (PRNG) methods and true random number generation (TRNG) methods. While PRNGs operate orders of magnitude faster than TRNGs, the strength of PRNGs lies in their initial seed. TRNGs can function to generate such a seed. This thesis will focus on studying the feasibility of using the next generation Naval Postgraduate School Femto Satellite (NPSFS) as a TRNG. The hardware for the next generation will come from the Intel Quark D2000 along with its onboard BMC150 6-axis eCompass. We simulated 3-dimensional motion to see if any raw data from the BMC150 could be used as an entropy source for random number generation.We studied various "schemes" on how to select and output specific data bits to determine if more entropy and increased bitrate could be reached. Data collected in this thesis suggests that the BMC150 contains certain bits that could be considered good sources of entropy. Various schemes further utilized these bits to yield a strong entropy source with higher bitrate. We propose the NPSFS be studied further to find other sources of entropy. We also propose a prototype be sent into space for experimental verification of these results.en_US
dc.description.urihttp://archive.org/details/randomnessfromsp1094552996
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleRandomness from spaceen_US
dc.typeThesisen_US
dc.contributor.secondreaderAteshian, Peter
dc.contributor.departmentComputer Science (CS)
dc.contributor.departmentApplied Mathematics
dc.subject.authorrandomen_US
dc.subject.authorrandomnessen_US
dc.subject.authorentropyen_US
dc.subject.authorRNGen_US
dc.subject.authorspaceen_US
dc.subject.authorNPSFSen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Computer Science and Master of Science in Applied Mathematicsen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Science and Applied Mathematicsen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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