12 resultados para random number generator

em Bulgarian Digital Mathematics Library at IMI-BAS


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* Research supported by NATO GRANT CRG 900 798 and by Humboldt Award for U.S. Scientists.

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 60J80, 62M05

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The Self-shrinking p-adic cryptographic generator (SSPCG) is a fast software stream cipher. Improved cryptoanalysis of the SSPCG is introduced. This cryptoanalysis makes more precise the length of the period of the generator. The linear complexity and the cryptography resistance against most recently used attacks are invesigated. Then we discuss how such attacks can be avoided. The results show that the sequence generated by a SSPCG has a large period, large linear complexity and is stable against the cryptographic attacks. This gives the reason to consider the SSPSG as suitable for critical cryptographic applications in stream cipher encryption algorithms.

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Марусия Н. Славчова-Божкова - В настоящата работа се обобщава една гранична теорема за докритичен многомерен разклоняващ се процес, зависещ от възрастта на частиците с два типа имиграция. Целта е да се обобщи аналогичен резултат в едномерния случай като се прилагат “coupling” метода, теория на възстановяването и регенериращи процеси.

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 60G70, 60F12, 60G10.

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2000 Mathematics Subject Classi cation: 60J80.

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2000 Mathematics Subject Classification: 94A29, 94B70

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2000 Mathematics Subject Classification: 05A16, 05A17.

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Mathematics Subject Classification: 65C05, 60G50, 39A10, 92C37

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A partition of a positive integer n is a way of writing it as the sum of positive integers without regard to order; the summands are called parts. The number of partitions of n, usually denoted by p(n), is determined asymptotically by the famous partition formula of Hardy and Ramanujan [5]. We shall introduce the uniform probability measure P on the set of all partitions of n assuming that the probability 1/p(n) is assigned to each n-partition. The symbols E and V ar will be further used to denote the expectation and variance with respect to the measure P . Thus, each conceivable numerical characteristic of the parts in a partition can be regarded as a random variable.