基于DB的DNA计算机攻击流密码

Sattar B. Sadkhan - SMIEEE, B. S. Yaseen
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引用次数: 1

摘要

综合搜索(或蛮力攻击)是攻击密码系统,特别是流密码方案的最强大的方法。并行搜索是该方法相对于顺序蛮力最有效的实现之一,有几种传统和非常规的实现方式。目前的研究提出了一种算法,该算法设计了DNA计算中由贴纸模型引入的并行概念,并创建了一组文件,这些文件形成了一个数据库,该数据库以合作的方式与并行搜索一起工作,以增加并行性的能力并求解,该数据库包括代表lfsr的补偿的二元字符串及其初始值的偏方程。并行搜索的决策树依赖于将从数据库中选择的二进制字符串与从内存复合体中计算出的假设的最终键序列进行匹配。研究的目的是为数字环境的实施制定适当的生物环境概念和基础,以提高并行实施综合检索的时间复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DB based DNA Computer to Attack Stream Cipher
Comprehensive search (or Brute Force attack) is the most powerful method for attacking cryptosystems, especially stream cipher schemes. Parallel search is one of the most effective implementation versus sequential brute force of this method and is implemented in several traditional and unconventional ways. The current research suggests an algorithm that devises the parallelism concept that was introduced by the sticker model in the DNA computing, with the creation of a set of files that form a database that works with parallel search in a cooperative approach to increase power of parallelism and to solve, this data base includes binary strings representing compensation of partial equations for LFSRs with their initial values , the decision tree for parallel search depends on matching the selected string binaries from the database with the hypothetical final key sequence calculated from the memory complexes. The aim of the research is to develop the appropriate concepts and foundations of the biological environment for the implementation of the digital environment for the purpose of improving the complexity of time for the parallel implementation of comprehensive search.
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