From scattered data to actionable knowledge: flexible cyber security reporting in the military domain

Author:

Skopik FlorianORCID,Bonitz Arndt,Grantz Volker,Göhler Günter

Abstract

AbstractNumerous cyber situational awareness models have been proposed in recent years. Yet, one of the main challenges still remains mostly unsolved, which is what information sources contribute to the process for establishing cyber situational awareness and how is relevant information collected. While previous scientific works focused on situational awareness models and decision support based on common operating pictures, ingesting and maintaining a consistent data basis for the cyber domain has rarely been studied in detail. However, this is crucial when data distributed across different systems need to be collected, vetted, correlated, de-duplicated, enriched and finally stored as a basis for flexible cyber security reporting. In this paper, we design an approach and a data model that enable to ingest and store the essential information from disparate organizational units and act as a basis for the flexible creation of cyber security reports. We describe the application of this approach and model in a case study together with the Austrian Ministry of Defense (MoD), in which we surveyed existing data sources and transfer paths and rated the applicability of the CCOP data model and accompanying processes in course of a proof-of-concept implementation.

Funder

Österreichische Forschungsförderungsgesellschaft

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Military Computing Security: Insights and Implications;Journal of The Institution of Engineers (India): Series B;2024-08-21

2. The awareness of operators: a goal-directed task analysis in SOCs for critical infrastructure;International Journal of Information Security;2024-07-19

3. Explainable AI in Military Training Applications;Advances in Computational Intelligence and Robotics;2024-01-18

4. Chaining Digital Services: Challenges to Investigate Cyber-Attacks at Run-Time;IEEE Communications Magazine;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3