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Reconfiguration of Access Schemes in Virtual Networks of the Internet of Things by Genetic Algorithms

机译:遗传算法通过遗传算法重新配置事物互联网虚拟网络中的访问方案

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Virtual local area networks (VLAN) is a well-known technology of computer security in heterogeneous network infrastructures. It does not require significant computing resources. For this reason, it should find success in Internet of things. The VLAN access control scheme formation is divided into the tasks of initial configuration and reconfiguration. The paper presents an approach to the reconfiguration of VLAN access control schemes based on the improved class of genetic algorithms. Unlike the initial configuration, the reconfiguration additionally uses the previous access control scheme as input. Its search criterion is focused on minimizing the possible changes in the previous scheme. The paper shows that this problem is a special form of the Boolean matrix factorization. Main enhancements relate to generation of the initial population based on trivial solutions, using the columns of the connectivity matrix as the genes of chromosomes and applying in the fitness function the criterion of minimal cost to modify the access scheme. Experimental results demonstrate the proposed genetic algorithm has a high enough effectiveness.
机译:虚拟局域网(VLAN)是异构网络基础架构中的计算机安全技术的知名技术。它不需要大量的计算资源。出于这个原因,它应该在互联网上找到成功。 VLAN访问控制方案形成分为初始配置和重新配置的任务。本文基于改进的遗传算法类介绍了VLAN访问控制方案的重新配置方法。与初始配置不同,重新配置另外使用先前的访问控制方案作为输入。其搜索标准专注于最大限度地减少先前方案中可能的变化。本文表明,此问题是布尔矩阵分解的特殊形式。主要增强涉及基于微不足道解决方案的初始群体的生成,使用连接矩阵的列作为染色体的基因,并且在适应性中施加函数最小成本的标准来修改访问方案。实验结果证明了所提出的遗传算法具有足够高的效率。

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