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Markov Models of Cyber Kill Chains with Iterations

机译:带有迭代的网络杀死链的马尔可夫模型

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摘要

A understanding of the nature of targeted cyber-attack processes is needed to defend against this kind of cyber threats. Generally, the models describing processes of targeted cyber attacks are called in the literature as cyber kill chains or rarely cyber-attacks life cycles. Despite the fact that cyber-attacks have random nature, almost no stochastic models of cyber kill chains bases on the theory of stochastic processes have been proposed so far. This work, attempting to fill this deficiency, proposes to start using Markov processes for modeling some cyber-attack kill chains. In this paper two example theoretical models of cycles of returning cyber-attacks are proposed which have been generally named as the models of cyber kill chains with iterations. Presented models are based on homogeneous continuous time Markov chains.
机译:需要了解有针对性的网络攻击流程的性质,以防御此类网络威胁。通常,描述目标网络攻击过程的模型在文献中被称为网络杀伤链或很少被网络攻击的生命周期。尽管网络攻击具有随机性质,但到目前为止,几乎没有提出基于随机过程理论的网络杀伤链的随机模型。这项工作试图弥补这一缺陷,并建议开始使用马尔可夫过程来对一些网络攻击的杀伤链进行建模。在本文中,提出了两个示例性的返回网络攻击周期的理论模型,这些模型通常被称为带有迭代的网络杀伤链模型。提出的模型基于均质连续时间马尔可夫链。

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