Knowledge base of the expert system for cyber security threat modeling

D. S. Milko, A. Daneev, A. L. Gorbylev
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Abstract

The appraisal of cyber security threats is necessary to create of the cyber security threat model. The results of appraisal shall apply for choosing information security measures. In February 2021, the new methodical document issued by the Russian Federal Service for export control of engineering technologies has gone into effect, and is obligatory to follow by all organizations. The paper presents the approach to ensure the automation of irrelevant cyber security threats ejection. The automation is done by developing the expert system. The knowledge base of expert system is created, and the methodology for its creating is described in the paper. The key terms for the expert system are worded. The flow chart of expert system is shown. The experimental results of knowledge base launching in manual mode are given. A part of the paper is devoted to a justification for choosing the expert system as an automatization method. The expert systems are compared to a «smarter» artificial intelligence method (artificial neural networks). As a result, the conclusions about efficiency of produced knowledge base are provided and the necessity of creating a more user friendly interface and rule engine is made evident.
网络安全威胁建模专家系统知识库
对网络安全威胁进行评估是建立网络安全威胁模型的必要条件。评估结果适用于信息安全措施的选择。2021年2月,俄罗斯联邦服务局发布的关于工程技术出口管制的新系统文件生效,所有组织都必须遵守。本文提出了一种确保无关网络安全威胁排除自动化的方法。自动化是通过开发专家系统实现的。建立了专家系统知识库,阐述了建立专家系统知识库的方法。对专家系统的关键术语进行了表述。给出了专家系统的流程图。给出了手动启动知识库的实验结果。论文的一部分专门讨论了选择专家系统作为自动化方法的理由。专家系统被比作“更智能”的人工智能方法(人工神经网络)。最后给出了知识库效率的结论,并指出了开发更友好的界面和规则引擎的必要性。
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