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Artificial Immunity-based Model for Information System Security Risk Evaluation

机译:基于人工免疫的信息系统安全风险评估模型

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An artificial immunity principle based model for information system security risk evaluation is proposed. Recognition of harmful antigen by immunocytes is simulated. Immature, mature and memory detectors are defined. Evolution process of the detector is derived with math method. The math model in which the detectors recognize threats is constructed. The intensity of a threat and the vulnerability in the information system are recognized. The quantitative computation equation of security risk is deduced through the threats and vulnerabilities. The theoretical analysis shows that the proposed model provides a new approach for the information system security risk evaluation in realtime and quantity.
机译:提出了一种基于人工免疫原理的信息系统安全风险评估模型。模拟了免疫细胞对有害抗原的识别。定义了不成熟,成熟和内存检测器。利用数学方法推导了探测器的演化过程。构建了检测器识别威胁的数学模型。可以识别威胁的强度和信息系统中的漏洞。通过威胁和脆弱性推导了安全风险的定量计算方程。理论分析表明,所提出的模型为信息系统安全实时评估提供了一种新的方法。

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