Frankenstack: Real-time Cyberattack Detection and Feedback System for Technical Cyber Exercises

Mauno Pihelgas, Markus Kont
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引用次数: 2

Abstract

This paper describes a situation awareness framework, Frankenstack, that is the result of a multi-faceted endeavor to enhance the expertise of cybersecurity specialists by providing them with real-time feedback during cybersecurity exercises and verifying the performance and applicability of monitoring tools during those exercises. Frankenstack has been recently redeveloped to improve data collection and processing functions as well as cyberattack detection capability. This extensive R&D effort has combined various system and network security monitoring tools into a single cyberattack detection and exercise feedback framework.Although Frankenstack was specifically developed for the NATO CCD COE’s Crossed Swords exercise, the architecture provides a clear point of reference for others who are building such monitoring frameworks. Thus, the paper contains many technical descriptions to reduce the gap between theoretical research and practitioners seeking advice on how to implement such complex systems.
科学怪人:用于网络技术演习的实时网络攻击检测和反馈系统
本文描述了一个态势感知框架——弗兰肯斯塔克(Frankenstack),该框架是多方努力的结果,旨在通过在网络安全演习中向网络安全专家提供实时反馈,并在这些演习中验证监控工具的性能和适用性,从而增强网络安全专家的专业知识。弗兰肯斯塔克最近进行了重新开发,以改进数据收集和处理功能以及网络攻击检测能力。这项广泛的研发工作将各种系统和网络安全监控工具结合到一个单一的网络攻击检测和演习反馈框架中。尽管Frankenstack是专门为北约CCD COE的交叉剑演习开发的,但该体系结构为正在构建此类监视框架的其他人提供了明确的参考点。因此,本文包含了许多技术描述,以减少理论研究与寻求如何实施这种复杂系统建议的实践者之间的差距。
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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