Отрывок: ..,32} is mapped to {High}. • The second fuzzy linguistic variable f12 has also three MFs they are fuzzyficated as following: when f12 belongs to {0,1,2} is mapped to {Excellent}, when f12 belongs to {3,...,6} is mapped to {Good}, and when f12 belongs to {7,...,10} is mapped to {Bad}. Taking ‘table 1’ into account we see that the most important MF of the first linguistic variable f0 is "Medium" and when its width increases (increasing number of elements in it's fuzzy group) th...
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dc.contributor.authorAnikin, I.V-
dc.contributor.authorAlnajjar, K.-
dc.date.accessioned2018-05-15 13:47:35-
dc.date.available2018-05-15 13:47:35-
dc.date.issued2018-
dc.identifierDspace\SGAU\20180515\69256ru
dc.identifier.citationAnikin I.V Studying the relationship between linguistic variables and the degrees of primitive polynomials used in pseudo-random number generator based on fuzzy logic/I.V Anikin, K. Alnajjar// Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.1645-1650ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Studying-the-relationship-between-linguistic-variables-and-the-degrees-of-primitive-polynomials-used-in-pseudorandom-number-generator-based-on-fuzzy-logic-69256-
dc.description.abstractIn this paper we study the relation between linguistic variables and the degree of characteristic primitive polynomial of used LFSR in previously suggested fuzzy pseudorandom number generator FRNG, keeping the out pseudorandom series secure. This means that we should take into account two important properties: the randomness of the output and the security against correlation attacks. The first property mainly depends on selection of primitive polynomials used in constructing FRNG (this was discussed deeply in [1, 2]). The second property as described in [2] can be realized by making the output series balanced in sense that the probability of appearing the bits of each used LFSR approximately equal to others in the output stream.ru
dc.language.isoen_USru
dc.publisherНовая техникаru
dc.relation.ispartofseries3;220-
dc.subjectpseudo-random numbers generatorru
dc.subjectfuzzy logicru
dc.subjectlinguistic variableru
dc.subjectprimitive polynomialru
dc.titleStudying the relationship between linguistic variables and the degrees of primitive polynomials used in pseudo-random number generator based on fuzzy logicru
dc.typeArticleru
dc.textpart..,32} is mapped to {High}. • The second fuzzy linguistic variable f12 has also three MFs they are fuzzyficated as following: when f12 belongs to {0,1,2} is mapped to {Excellent}, when f12 belongs to {3,...,6} is mapped to {Good}, and when f12 belongs to {7,...,10} is mapped to {Bad}. Taking ‘table 1’ into account we see that the most important MF of the first linguistic variable f0 is "Medium" and when its width increases (increasing number of elements in it's fuzzy group) th...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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