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A DNA-Sticker Algorithm for Cryptanalysis LFSRs and NLFSRs Based Stream Cipher

机译:用于基于密码的LFSR和NLFSR密码分析的DNA-Sticker算法

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In this paper, We propose DNA sticker model based algorithm, a computability model, which is a simulation of the parallel computations using the Molecular computing as in Adelman's DNA computing experiment, it demonstrates how to use a sticker-based model to design a simple DNA-based algorithm for attacking a linear and a non-linear feedback shift register (FSR) based stream cipher. The algorithm first construct the TEST TUBE contains all overall solution space of memory complexes for the cipher and initials of registers via the sticker-based model. Then, with biological operations, separate and combine, we remove those which encode illegal plain and key stream from the TEST TUBE of memory complexes, the decision based on verifying a key stream bit this bit represented by output of LFSRs equation. The model anticipates two basic groups of single stranded DNA molecules in its representation one of a genetic bases and second of a bit string, It invests parallel search into the space of solutions through the possibilities of DNA computing and makes use of the method of cryptanalysis of algebraic code as a decision technique to accept the solution or not, and their operations are repeated until one solution or limited group of solutions is reached. The main advantages of the suggested algorithm are limited number of cipher characters, and finding one exact solution The present work concentrates on showing the applicability of DNA computing concepts as a powerful tool in breaking cryptographic systems.
机译:在本文中,我们提出了一种基于DNA粘贴物模型的算法,一种可计算性模型,该模型是对分子计算的模拟,就像在Adelman的DNA计算实验中一样,它演示了如何使用基于粘贴物的模型来设计简单的DNA基于算法的攻击线性和非线性反馈移位寄存器(FSR)的流密码。该算法首先构造TEST TUBE,通过基于标签的模型包含用于寄存器的密码和首字母的存储器复合体的所有整体解决方案空间。然后,通过生物学操作,将其分离并结合起来,我们从存储复合体的TEST TUBE中删除对非法的明码和密钥流进行编码的代码,该决定基于验证密钥流位,该位由LFSRs方程的输出表示。该模型以其代表的一个遗传碱基和一个位串的第二个碱基预测了单链DNA分子的两个基本组,它通过DNA计算的可能性对溶液空间进行了并行搜索,并利用了密码分析的方法。代数代码作为一种接受或不接受该解决方案的决策技术,并且重复它们的操作,直到达到一个解决方案或一组有限的解决方案为止。提出的算法的主要优点是数量有限的密码字符,并找到一个确切的解决方案。本工作集中于展示DNA计算概念作为破解密码系统的有力工具的适用性。

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