Development of Cyber-Attack Scenarios for Nuclear Power Plants Using Scenario Graphs
Woogeun Ahn,
Manhyun Chung,
Byung-Gil Min and
Jungtaek Seo
International Journal of Distributed Sensor Networks, 2015, vol. 11, issue 9, 836258
Abstract:
Modern nuclear power plants (NPPs) use a variety of digital technologies, with new technologies such as wireless sensor networks also under active consideration. Consequently, like other critical infrastructure at increasing risk of cyber-attacks, cyber security for NPPs has become an issue of growing concern. The development of cyber-attack scenarios is therefore a crucial part of cyber security plans for NPPs. However, regulatory guidelines for NPPs only mention the necessity for cyber-attack scenarios, their application methods, and simple examples, without outlining any systematic method to actually develop comprehensive cyber-attack scenarios. This paper proposes a method for developing NPP cyber-attack scenarios that reflect the inherent characteristics and architecture of NPPs using scenario graphs, a type of attack model. Further, the process of modeling scenario graphs using the proposed method and a process for developing new attack scenarios by combining several scenario graphs are discussed. In the scenario graphs, large and complicated system structures are conceptually divided, facilitating identification of components of cyber-attacks. Attack scenarios developed using these scenario graphs can be used extensively to develop design basis threats (DBTs), risk assessments, and penetration tests. Thus, they are important for establishing cyber security plans and programs.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1155/2015/836258 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:11:y:2015:i:9:p:836258
DOI: 10.1155/2015/836258
Access Statistics for this article
More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().