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dc.contributor.advisorCanright, David R.,
dc.contributor.authorVanatta, Natalie
dc.dateJun-13
dc.date.accessioned2013-08-01T16:52:00Z
dc.date.available2013-08-01T16:52:00Z
dc.date.issued2013-06
dc.identifier.urihttps://hdl.handle.net/10945/34756
dc.description.abstractSolving large systems of multivariate polynomial equations is an active area of mathematical research, as these polynomials are used in many fields of science. The objective of this research is to advance the development of algebraic methods to attack the mathematical foundations of modern-day encryption methods, which can be modeled as a system of multivariate polynomial equations over a finite field. Our techniques overcome the limitations of previous methods. Additionally, a model is proposed to estimate the time required to solve large systems with our methods. All of these elements were tested successfully on AES and its predecessor, Square. The results showed our techniques to be comparable with a brute force technique. To the best of our knowledge, no other purely algebraic attack on AES has been shown to be this efficient.en_US
dc.description.urihttp://archive.org/details/solvingmultivari1094534756
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.titleSolving multi-variate polynomial equations in a finite fielden_US
dc.contributor.departmentApplied Mathematics
dc.subject.authorFinite Fieldsen_US
dc.subject.authorAESen_US
dc.subject.authorMRHSen_US
dc.subject.authormulti-linken_US
dc.subject.authormulti-agreeen_US
dc.subject.authorSquareen_US
dc.description.serviceMajor, United States Armyen_US
etd.thesisdegree.nameDoctor of Philosophy In Applied Mathematicsen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineApplied Mathematicsen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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