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Scomf and SComI botnet models: The cases of initial unhindered botnet expansion

机译:Scomf和SComI僵尸网络模型:僵尸网络最初不受限制的扩展案例

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Botnets have become platforms to launch distributed denial-of-service attacks and coordinate massive e-mail spam campaigns, to name just a few of botnet-related nefarious activities. Apart from the wired networks, the increasingly Internet-enabled cellular wireless networks are also vulnerable to botnet attacks; a situation which motivates a thorough study of botnet expansion and the mathematical models thereof. In this paper, we propose the following two Continuous-Time Markov Chain-based models for prediction of the botnet size in the initial phase of botnet lifecycle: SComF for the case of finite number of susceptible nodes (suitable for a botnet expanding in a closed environment such as an administrative domain, or a LAN) and SComI for the case of infinite number of susceptible nodes (suitable for a botnet expanding in the larger Internet). Having access to such models would enable security experts to have reliable size estimates and therefore be able to defend against an emerging botnet with adequate resources. We derive the probability distributions for both models and provide some numerical results as well as a simulation study accompanying the numerical analysis of the SComF model using the GTNetS network simulator.
机译:僵尸网络已成为发起分布式拒绝服务攻击并协调大规模电子邮件垃圾邮件活动的平台,仅举几个与僵尸网络有关的邪恶活动为例。除有线网络外,越来越多的启用Internet的蜂窝无线网络也容易受到僵尸网络的攻击。这种情况促使人们深入研究僵尸网络扩展及其数学模型。在本文中,我们提出了以下两个基于连续时间马尔可夫链的模型来预测僵尸网络生命周期初始阶段的僵尸网络大小:SComF用于敏感节点数量有限的情况(适用于僵尸网络在封闭状态下扩展)环境(例如管理域或LAN)和SComI(对于无数个敏感节点)(适用于在较大Internet中扩展的僵尸网络)。能够访问此类模型将使安全专家能够进行可靠的规模估计,因此能够防御具有足够资源的新兴僵尸网络。我们导出两个模型的概率分布,并提供一些数值结果以及伴随使用GTNetS网络模拟器对SComF模型进行数值分析的模拟研究。

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