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Fuzzy cognitive map-based reasoning for prediction of multi-stage attacks in risk assessment

机译:基于模糊认知图的推理评估风险评估中的多阶段攻击

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摘要

The knowledge and sophistication with which attacks are carried out in recent times, makes it essential for the organisations to carry out risk assessment in a proactive manner in order to reduce the risk impact. Multi-stage attacks are a form of complex attacks which target more than one computer in a network to carry out an attack. In order to have an effective risk management the multi-stage attacks that occur in multiple steps also need to be considered. To predict the multi-stage attacks the causality between the steps in the execution of the attack need to be modelled which can be done using fuzzy cognitive maps. Fuzzy cognitive maps can serve as a reasoning tool as they provide the fuzzy degree of causation between the events. The proposed system makes use of fuzzy cognitive maps to model the causally dependent events to predict multi-stage attacks.
机译:近来进行攻击的知识和技巧使组织必须以积极的方式进行风险评估,以减少风险影响。多阶段攻击是一种复杂的攻击形式,它以网络中的多台计算机为目标进行攻击。为了进行有效的风险管理,还需要考虑在多个步骤中发生的多阶段攻击。为了预测多阶段攻击,需要对攻击执行步骤之间的因果关系进行建模,这可以使用模糊认知图来完成。模糊认知图可以提供事件之间因果关系的模糊程度,因此可以用作推理工具。所提出的系统利用模糊认知图对因果相关事件进行建模,以预测多阶段攻击。

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