CERT Training Platform over the Event-Recordable Container

Namjun Kim, Chanmo Yang, Dae-Il Cho, Seung Hyeon Geum, Ki-Woong Park
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Abstract

The current COVID-19 pandemic has resulted in many changes in the IT systems and services of institutions, which also heightened the concerns regarding the potential increase in intrusion incidents, especially when most works in institutions are performed at home. The need for pre-training against intrusion incidents has then become extremely necessary. Unfortunately, current learning methods in existing studies are insufficient for application in the present demand because these methods were originally designed for environments that are tailored-fit for learners and not in actual environments. This paper proposes a training system, namely, computer emergency response team (CERT), that can be specifically designed for learners in an institution to provide intrusion-incident cases using a Web-based training system. CERT can easily replicate the service or system in an institution to a honeypot environment to automatically collect and classify intrusion incidents using diverse evaluation criteria so that learning can be achieved from different perspectives. Hence, the institution operating service and system can easily be replicated. Artifacts of intrusion incidents are collected using the Docker container technology and event-recordable container, which are analyzed using a Web browser without installing a separate program. Thus, optimal learning results from the analysis of actual attacks are expected.
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基于事件可记录容器的CERT培训平台
当前的COVID-19大流行导致机构的IT系统和服务发生了许多变化,这也加剧了人们对入侵事件可能增加的担忧,特别是当机构的大多数工作都在家中进行时。因此,对入侵事件进行预培训就变得极其必要。不幸的是,现有研究中现有的学习方法不足以应用于当前的需求,因为这些方法最初是为学习者量身定制的环境而不是实际环境。本文提出了一个培训系统,即计算机应急响应小组(computer emergency response team, CERT),它可以专门为机构中的学习者设计,使用基于web的培训系统提供入侵事件案例。CERT可以轻松地将机构中的服务或系统复制到蜜罐环境中,使用不同的评估标准自动收集和分类入侵事件,从而从不同的角度进行学习。因此,运营服务和系统的机构很容易被复制。使用Docker容器技术和事件可记录容器收集入侵事件的工件,使用Web浏览器对其进行分析,而无需安装单独的程序。因此,期望从实际攻击的分析中获得最佳的学习结果。
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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