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A Dynamic Immunity-Based Real-time Network Risk Evaluation Method

机译:基于动态免疫的实时网络风险评估方法

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According to the relationship between the antibody density and the pathogen attack intensity, a dynamic immunity-based real-time network risk evaluation method (DIRNR) is presented. In DIRNR, the concepts and formal definitions of self, nonself, antibody, antigen and immune detector in network risk evaluation domain are given. Then, depending on a series of immune responses to antigen, such as self evolution, self tolerance and immune detector lifecycle, the mathematical models for describing the change of network risk are established. Building upon the above models, a real-time network risk calculation model based on antibody density is presented. By using DIRNR, the types and intensity of network attacks can be calculated in real-time. In DIRNR, the concept of the antibody density in a biological immune system has been abstracted and extended, and a new method based on antibody density for network risk evaluation has been presented. The theoretical analysis and the experimental results show that the proposed method is a good solution to real-time evaluation for the network risk.
机译:根据抗体密度与病原体攻击强度之间的关系,提出了一种基于动态的基于免疫力的实时网络风险评估方法(DIRNR)。在DIRNR中,给出了网络风险评估结构域中自我,非本土,抗体,抗原和免疫检测器的概念和正式定义。然后,根据对抗原的一系列免疫反应,例如自我进化,自耐耐受和免疫检测器生命周期,建立了用于描述网络风险变化的数学模型。在上述模型上,提出了一种基于抗体密度的实时网络风险计算模型。通过使用DIRNR,网络攻击的类型和强度可以实时计算。在DiRNR中,已经提出了一种生物免疫系统中的抗体密度的概念,并提出了一种基于网络风险评估抗体密度的新方法。理论分析和实验结果表明,该方法是对网络风险的实时评估的良好解决方案。

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