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Topics on Register Synthesis Problems.

机译:有关寄存器综合问题的主题。

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摘要

Pseudo-random sequences are ubiquitous in modern electronics and information technology. High speed generators of such sequences play essential roles in various engineering applications, such as stream ciphers, radar systems, multiple access systems, and quasi-Monte-Carlo simulation. Given a short prefix of a sequence, it is undesirable to have an efficient algorithm that can synthesize a generator which can predict the whole sequence. Otherwise, a cryptanalytic attack can be launched against the system based on that given sequence.;Linear feedback shift registers (LFSRs) are the most widely studied pseudorandom sequence generators. The LFSR synthesis problem can be solved by the Berlekamp-Massey algorithm [44], by constructing a system of linear equations, by the extended Euclidean algorithm, or by the continued fraction algorithm [52,53]. It is shown that the linear complexity is an important security measure for pseudorandom sequences design. So we investigate lower bounds of the linear complexity of different kinds of pseudorandom sequences.;Feedback with carry shift registers (FCSRs) were first described by Goresky and Klapper [22, 31]. They have many good algebraic properties similar to those of LFSRs. FCSRs are good candidates as building blocks of stream ciphers. The FCSR synthesis problem has been studied in many literatures [7, 30, 33] but there are no FCSR synthesis algorithms for multi-sequences. Thus one of the main contributions of this dissertation is to adapt an interleaving technique to develop two algorithms to solve the FCSR synthesis problem for multi-sequences.;Algebraic feedback shift registers (AFSRs) are generalizations of LFSRs and FCSRs. Based on a choice of an integral domain R and pi ∈ R, an AFSR can produce sequences whose elements can be thought of elements of the quotient ring R/(pi). A modification of the Berlekamp-Massey algorithm, Xu's algorithm solves the synthesis problem for AFSRs over a pair (R, pi) with certain algebraic properties [33]. We propose two register synthesis algorithms for AFSR synthesis problem. One is an extension of lattice approximation approach but based on lattice basis reduction and the other one is based on the extended Euclidean algorithm.;KEYWORDS: FCSRs, AFSRs, Register synthesis problem, Multi-sequences.
机译:伪随机序列在现代电子和信息技术中无处不在。这种序列的高速生成器在各种工程应用中扮演着至关重要的角色,例如流密码,雷达系统,多路访问系统和准蒙特卡洛模拟。在给定序列的短前缀的情况下,不希望有一种能够合成可以预测整个序列的生成器的高效算法。否则,可以基于给定的序列对系统发起密码分析攻击。线性反馈移位寄存器(LFSR)是研究最广泛的伪随机序列生成器。 LFSR综合问题可以通过Berlekamp-Massey算法[44],构建线性方程组,扩展的欧几里得算法或连续分数算法来解决[52,53]。结果表明,线性复杂度是伪随机序列设计的重要安全措施。因此,我们研究了不同种类的伪随机序列线性复杂度的下界。Goresky和Klapper首先描述了带有进位移位寄存器(FCSR)的反馈[22,31]。它们具有许多与LFSR相似的良好代数性质。 FCSR作为流密码的构建块是不错的选择。许多文献已经研究了FCSR合成问题[7,30,33],但是没有用于多序列的FCSR合成算法。因此,本论文的主要贡献之一就是采用一种交错技术来开发两种算法来解决多序列的FCSR综合问题。代数反馈移位寄存器(AFSR)是LFSR和FCSR的概括。基于对整数域R和pi∈R的选择,AFSR可以生成序列,其元素可以视为商环R /(pi)的元素。许氏算法是对Berlekamp-Massey算法的改进,它解决了具有一定代数性质的一对(R,pi)上AFSR的合成问题[33]。针对AFSR综合问题,我们提出了两种寄存器综合算法。一种是对格近似方法的扩展,但是基于格基约简,另一种是基于扩展的欧几里得算法。关键词:FCSR,AFSR,寄存器合成问题,多序列。

著录项

  • 作者

    Liu, Weihua.;

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:47:10

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