将基于案例的推理扩展到网络警报报告

R. Erbacher, Steve E. Hutchinson
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引用次数: 15

摘要

大量的网络安全分析师时间花在处理本地网络上已知的和naïve威胁和策略违规上。这包括实际识别和分析活动以及生成和归档与活动相关的报告所花费的时间。随着对高级持久威胁的关注日益增加,人们对开发自动处理已知威胁和策略违反的技术很感兴趣。我们建议扩展现有的基于案例的推理方法,以支持网络安全报告生成的独特需求。具体来说,我们考虑到这样一个事实,即我们正在报告恶意行为者,这些行为者将试图操纵系统或操纵系统,以帮助行为者混淆他们的活动。在本文中,我们描述了自动报告的需求,基于案例推理的适用性,我们对标准基于案例推理系统模型的扩展,并提供了应用于示例网络安全场景的修改后的基于案例推理系统的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending Case-Based Reasoning to Network Alert Reporting
A substantial amount of cyber security analyst time is spent handling well-known and naïve threats and policy violations on the local network. This includes both the time spent actually identifying and analyzing the activity as well as generating and filing reports associated with the activity. With increasing concern over advanced persistent threats, there is an interest in the development of techniques to automatically handle well-known threats and policy violations. We propose extensions to existing case-based reasoning approaches to support the unique requirements of cyber security report generation. Specifically, we consider the fact that we are reporting on hostile actors that will attempt to game the system or manipulate the system to actually aid the actors in obfuscating their activity. In this paper, we describe the need for automated reporting, the applicability of case-based reasoning, our proposed extension to the standard case-based reasoning system model, and provide examples of the modified case-based reasoning system as applied to example cyber security scenarios.
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