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http://dx.doi.org/10.33778/kcsa.2022.22.4.065

A Study on Operational Element Identification and Integrated Time Series Analysis for Cyber Battlefield Recognition  

Son-yong Kim (사이버전장팀, 한화시스템(주))
Koo-hyung Kwon (국방사이버기술센터, 국방과학연구소)
Hyun-jin Lee (사이버전장팀, 한화시스템(주))
Jae-yeon Lee (사이버전장팀, 한화시스템(주))
Jang-hyuk Kauh (국방사이버기술센터, 국방과학연구소)
Haeng-rok Oh (국방사이버기술센터, 국방과학연구소)
Publication Information
Convergence Security Journal / v.22, no.4, 2022 , pp. 65-73 More about this Journal
Abstract
Since cyber operations are performed in a virtual cyber battlefield, the measurement indicators that can evaluate and visualize the current state of the cyber environment in a consistent form are required for the commander to effectively support the decision-making of cyber operations. In this paper, we propose a method to define various evaluation indicators that can be collected on the cyber battlefield, normalized them, and evaluate the cyber status in a consistent form. The proposed cyber battlefield status element consists of cyber asset-related indicators, target network-related indicators, and cyber threat-related indicators. Each indicator has 6 sub-indicators and can be used by assigning weights according to the commander's interests. The overall status of the cyber battlefield can be easily recognized because the measured indicators are visualized in time series on a single screen. Therefore, the proposed method can be used for the situational awareness required to effectively conduct cyber warfare.
Keywords
Operational Element Identification; Integrated Time Series Analysis; Cyber Battlefiled Recognition;
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