Graph analytics and visualization for cyber situational understanding

S. Noel, Stephen Purdy, Annie O’Rourke, E. Overly, Brianna Chen, Christine DiFonzo, Joseph Chen, George Sakellis, Mandira Hegde, Mano Sapra, Corrine M. Araki, Jeremy Martin, Ben Koehler, J. Keenan, Timothy Coen, William W. Watson, Jerry Harper, Kevin Jacobs
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引用次数: 1

Abstract

This paper describes the Cyber Situational Understanding (Cyber SU) Proof of Concept (CySUP) software system for exploring advanced Cyber SU capabilities. CySUP distills complex interrelationships among cyberspace entities to provide the “so what” of cyber events for tactical operations. It combines a variety of software components to build an end-to-end pipeline for live data ingest that populates a graph knowledge base, with query-driven exploratory analysis and interactive visualizations. CySUP integrates with the core infrastructure environment supporting command posts to provide a cyber overlay onto a common operating picture oriented to tactical commanders. It also supports detailed analysis of cyberspace entities and relationships driven by ad hoc graph queries, including the conversion of natural language inquiries to formal query language. To help assess its Cyber SU capabilities, CySUP leverages automated cyber adversary emulation to carry out controlled cyberattack campaigns that impact elements of tactical missions.
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网络情境理解的图形分析和可视化
本文描述了用于探索高级网络态势理解能力的网络态势理解(Cyber SU)概念验证(CySUP)软件系统。CySUP提炼网络空间实体之间复杂的相互关系,为战术行动提供网络事件的“so what”。它结合了各种软件组件,为实时数据摄取构建端到端管道,填充图形知识库,具有查询驱动的探索性分析和交互式可视化。CySUP集成了支持指挥所的核心基础设施环境,为战术指挥官提供面向共同作战图像的网络覆盖。它还支持由特别图形查询驱动的网络空间实体和关系的详细分析,包括将自然语言查询转换为正式查询语言。为了帮助评估其网络SU能力,CySUP利用自动化的网络对手仿真来执行影响战术任务要素的受控网络攻击活动。
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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