3 research outputs found

    STATISTICAL PROPERTIES OF PSEUDORANDOM SEQUENCES

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    Random numbers (in one sense or another) have applications in computer simulation, Monte Carlo integration, cryptography, randomized computation, radar ranging, and other areas. It is impractical to generate random numbers in real life, instead sequences of numbers (or of bits) that appear to be ``random yet repeatable are used in real life applications. These sequences are called pseudorandom sequences. To determine the suitability of pseudorandom sequences for applications, we need to study their properties, in particular, their statistical properties. The simplest property is the minimal period of the sequence. That is, the shortest number of steps until the sequence repeats. One important type of pseudorandom sequences is the sequences generated by feedback with carry shift registers (FCSRs). In this dissertation, we study statistical properties of N-ary FCSR sequences with odd prime connection integer q and least period (q-1)/2. These are called half-â„“-sequences. More precisely, our work includes: The number of occurrences of one symbol within one period of a half-â„“-sequence; The number of pairs of symbols with a fixed distance between them within one period of a half-â„“-sequence; The number of triples of consecutive symbols within one period of a half-â„“-sequence. In particular we give a bound on the number of occurrences of one symbol within one period of a binary half-â„“-sequence and also the autocorrelation value in binary case. The results show that the distributions of half-â„“-sequences are fairly flat. However, these sequences in the binary case also have some undesirable features as high autocorrelation values. We give bounds on the number of occurrences of two symbols with a fixed distance between them in an â„“-sequence, whose period reaches the maximum and obtain conditions on the connection integer that guarantee the distribution is highly uniform. In another study of a cryptographically important statistical property, we study a generalization of correlation immunity (CI). CI is a measure of resistance to Siegenthaler\u27s divide and conquer attack on nonlinear combiners. In this dissertation, we present results on correlation immune functions with regard to the q-transform, a generalization of the Walsh-Hadamard transform, to measure the proximity of two functions. We give two definitions of q-correlation immune functions and the relationship between them. Certain properties and constructions for q-correlation immune functions are discussed. We examine the connection between correlation immune functions and q-correlation immune functions

    Complexity measures for classes of sequences and cryptographic apllications

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    Pseudo-random sequences are a crucial component of cryptography, particularly in stream cipher design. In this thesis we will investigate several measures of randomness for certain classes of finitely generated sequences. We will present a heuristic algorithm for calculating the k-error linear complexity of a general sequence, of either finite or infinite length, and results on the closeness of the approximation generated. We will present an linear time algorithm for determining the linear complexity of a sequence whose characteristic polynomial is a power of an irreducible element, again presenting variations for both finite and infinite sequences. This algorithm allows the linear complexity of such sequences to be determined faster than was previously possible. Finally we investigate the stability of m-sequences, in terms of both k-error linear complexity and k-error period. We show that such sequences are inherently stable, but show that some are more stable than others

    Ozone in the Troposphere and Stratosphere, part 1

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    This is the first part of a 2-part Conference Publication. This document contains papers presented at the 1992 Quadrennial Ozone Symposium held at the Charlottesville, Virginia, from June 4-13, 1992. The papers cover topics in both Tropospheric and Stratospheric research. These topics include ozone trends and climatology, ground based, aircraft, balloon, rocket and satellite measurements, Arctic and Antarctic research, global and regional modeling, and volcanic effects
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