首页> 外文会议>International Conference on Adaptive and Natural Computing Algorithms; 2005; Coimbra(PT) >Recovering the Cyclic-Code of Generated Polynomial by Using Evolutionary Computation
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Recovering the Cyclic-Code of Generated Polynomial by Using Evolutionary Computation

机译:使用进化计算恢复生成多项式的循环码

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The data integrity in computer security is a key component of what we call trustworthy computing, and one of the most important issues in data integrity is to detect and correct error codes, which is also a crucial step in software and hardware design. Numerous methods have been recently proposed to solve legal-codes of the cyclic-code generated polynomial g(x). We think that a better approach for this purpose is to solve the legal-codes by finding the roots of the cyclic-code generated polynomial. However, as it is well known, finding roots of polynomials of high degree in the modulo-q space GF(q) is very difficult. In this paper we propose a method to solve the roots of cyclic-code generated polynomial by using evolutionary computation, which makes use of randomized searching method from biological natural selection and natural genetic system.
机译:计算机安全中的数据完整性是我们所谓的可信计算的关键组成部分,而数据完整性中最重要的问题之一就是检测和纠正错误代码,这也是软件和硬件设计中的关键步骤。最近已经提出了许多方法来求解循环码生成的多项式g(x)的合法码。我们认为,用于此目的的更好方法是通过找到循环码生成的多项式的根来求解合法码。然而,众所周知,在模q空间GF(q)中找到高阶多项式的根是非常困难的。本文提出一种利用进化计算求解循环码生成多项式根的方法,该方法利用了生物自然选择和自然遗传系统中的随机搜索方法。

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