Immune-Based Network Dynamic Risk Control Strategy Knowledge Ontology Construction
Knowledge base of dynamic risk control strategy based on immunity is a significant effect on effective analysis and defense against illegal network intrusion. How to realize the automatic understanding and processing of computers with control strategy kno
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Abstract. Knowledge base of dynamic risk control strategy based on immunity is a significant effect on effective analysis and defense against illegal network intrusion. How to realize the automatic understanding and processing of computers with control strategy knowledge is of great significance for quickly responding to network security risks. As a kind of knowledge representation tool, ontology can provide support for knowledge sharing, reuse and automatic computer understanding in specific fields, and has been widely used in various fields. This paper first introduces the immune-based network dynamic risk control model and network dynamic risk quantitative evaluation. And then, according to the ontology modeling method of network dynamic risk control strategy knowledge, this paper extracts domain knowledge concepts, attributes, relationships, instances, etc., and constructs domain ontology model, application ontology model, and atom ontology model for the network dynamic risk control strategy knowledge. These ontology models are represented using semantic Web ontology expression languages PDF and OWL, and are constructed using the protégé ontology editing tool. Finally, the important concepts in the knowledge of network dynamic risk control strategy and the relationship between concepts are expressed in the form of graph, so as to help the network security analysts and decision makers to effectively control and make decisions. Keywords: Artificial immunity · Network dynamic risk control · Knowledge base · Ontology
1 Introduction With the rapid development of modern information technologies such as cloud computing, internet of things, and 5G, network security has emerged in a new form, which puts higher demands on network security risk detection and control. The detection and control of network security risks is a systematic project, which requires each subsystem in the system to work together efficiently to ensure high robustness. There are striking similarities between cybersecurity risk detection and control security issues and the © Springer Nature Switzerland AG 2020 K. Arai et al. (Eds.): SAI 2020, AISC 1230, pp. 420–430, 2020. https://doi.org/10.1007/978-3-030-52243-8_30
Immune-Based Network Dynamic Risk Control Strategy
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problems encountered with biological immune systems, both of which can maintain system stability in a constantly changing environment [1–3]. Therefore, the introduction of artificial immune related theory into the research of network security risk detection and control is a very important and meaningful research direction. Knowledge base is a knowledge set that can be organized, stored, managed, used and shared by adopting the corresponding knowledge representation method according to the needs of solving problems in specific fields. Constructing a comprehensive knowledge base of network dynamic risk control strategies will help to exchange and share network security knowledge, which will help to better analyze network intrusion behavior and play an important role in network defen
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