SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response

M. Husák, Milan Cermák
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引用次数: 5

Abstract

Incident handling, a fundamental activity of a cybersecurity incident response team, is a complex discipline that consumes a significant amount of personnel’s time and costs. There are continuous efforts to facilitate incident handling and response in terms of providing procedural or decision support and processing relevant data. In this paper, we survey the approaches towards (semi-)automated incident handling and response backed by recommender systems that are successful in other domains. We discuss which phases and tiers of incident handling can be automated and to what level while evaluating the maturity of proposed approaches and tools. While we did not find a full-scale recommender system that would guide the user through incident handling and suggest which steps to take, many of them aim at particular problems. The discussed issues are not resolved yet but seem to get the attention of researchers and will likely be investigated in the future.
推荐系统在网络安全事件处理和响应中的应用和挑战
事件处理是网络安全事件响应团队的一项基本活动,是一项复杂的规程,需要耗费大量人员的时间和成本。在程序或决策支援,以及处理相关数据方面,我们不断努力协助处理和回应事故。在本文中,我们调查了在其他领域成功的推荐系统支持下实现(半)自动化事件处理和响应的方法。在评估建议的方法和工具的成熟度时,我们将讨论事件处理的哪些阶段和层次可以自动化,以及自动化到什么程度。虽然我们没有找到一个全面的推荐系统来指导用户处理事件并建议采取哪些步骤,但其中许多都是针对特定问题的。讨论的问题尚未得到解决,但似乎得到了研究人员的关注,未来可能会进行研究。
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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