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The Effect of Internet Protocol Addressing Requirement For Scan-based Worms in Multigroup Computer Network Models

机译:互联网协议解决要求在MultiGroup计算机网络模型中扫描的蠕虫的影响

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In recent times, epidemic differential equation models have been used to understand the patterns of malicious objects? propagation in networks. This is necessary since malware attacks on information and communication technology infrastructure have become numerous and threatening to cyberspace. Our study herein posits that older multigroup epidemic computer network models are somewhat not to clear on the type of worm propagated, thereby presenting a generalized conclusions on its behavior. However, it has been observed that the internet protocol (IP) address space has been ignored in several formulations of these models. Therefore, we evaluate the effect of applying the IPV6 address configuration to dthe following models; SI1I2I3RS, S1S2S3IR, E-S1S2I1I2RS and SI1I2RS. This is due to the fact that some worm types (scan-based) either randomly or locally search the address space for vulnerabilities in the network. Using the Runge-Kutta numerical method, we performed numerical simulations in order to highlight existent differences and variations (as time histories and 3 dimensional phase plots) for the presence and absence of the IPV6 address format. The study also showed the impact of the incidence functions used in these epidemic models. Through this study, we were able to present a clear understanding of the dynamics of the computer network, and how IPV6 configuration affect susceptibility and multiple infections (scan-based worms inclusive).
机译:最近,疫情差动方程模型已被用来理解恶意物体的模式?在网络中传播。这是必要的,因为对信息和通信技术基础设施的恶意软件攻击已经变得众多并威胁到网络空间。我们的研究在本文中,较旧的Multigroup流行病计算机网络模型有点不清楚蠕虫的类型传播,从而呈现了对其行为的广义结论。然而,已经观察到互联网协议(IP)地址空间已经在这些模型的若干配方中被忽略。因此,我们评估将IPv6地址配置应用于以下模型的效果; Si1i2i3rs,s1s2s3ir,e-s1s2i1i2rs和si1i2rs。这是由于某些蠕虫类型(基于扫描)随机或本地搜索网络中的地址空间以获取网络中的漏洞。使用Runge-Kutta数值方法,我们执行了数值模拟,以便突出显示存在和不存在IPv6地址格式的存在差异和变化(作为时间历史和三维相位图)。该研究还表明,这些疫情模型中使用的发病函数的影响。通过这项研究,我们能够清楚地了解计算机网络的动态,以及IPv6配置如何影响易感性和多种感染(扫描的蠕虫)。

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