Building an Ontology for Cyber Defence Exercises

Gulkhara Babayeva, Kaie Maennel, O. Maennel
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引用次数: 2

Abstract

Over the course of recent years, the volume of cyber attacks has increased. The Cyber Defence Exercises (CDX) help organisations evaluate their security capacity by engaging in real-life cyber attack scenarios and improving the skills of the cybersecurity specialists and security measures to protect their critical systems from any potential cyber attacks. During such exercises, cybersecurity data is generated in structured and unstructured forms ranging from system-generated logs to situational reports. However, there is no united governance of all the generated data within the CDX context, which may lead to knowledge mismanagement. In this paper, we develop ontology-based structured knowledge management within the CDX environment to provide common understanding, integration, and sharing of data in this domain. The CDX ontology is developed with RDF and OWL languages assembling the data in an organised and machine-understandable format which will be very handy for computational linguistics. The validation of the ontology is conducted by ontology reasoning, competency questions, and, most importantly, expert evaluation. The CDX ontology passes the validation methods successfully and is thought to be a valuable asset for future research in its domain.
构建网络防御演习本体
近年来,网络攻击的数量有所增加。网络防御演习(CDX)通过参与真实的网络攻击场景,提高网络安全专家的技能和安全措施,帮助机构评估其安全能力,以保护其关键系统免受任何潜在的网络攻击。在此类演习中,网络安全数据以结构化和非结构化的形式生成,从系统生成的日志到情景报告。然而,在CDX上下文中没有对所有生成的数据进行统一的治理,这可能导致知识管理不善。在本文中,我们在CDX环境中开发了基于本体的结构化知识管理,以提供对该领域数据的共同理解、集成和共享。CDX本体是用RDF和OWL语言开发的,它们以一种有组织的、机器可理解的格式组装数据,这对计算语言学来说非常方便。本体的验证是通过本体推理、能力问题以及最重要的专家评估来进行的。CDX本体成功地通过了验证方法,并被认为是该领域未来研究的宝贵资产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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