Decision support model for effects estimation and proportionality assessment for targeting in cyber operations
Source
Defence Technology, 17, 2, (2021), pp. 352-374ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ BSI AO
Journal title
Defence Technology
Volume
vol. 17
Issue
iss. 2
Languages used
English (eng)
Page start
p. 352
Page end
p. 374
Subject
Work, Health and PerformanceAbstract
Cyber operations are relatively a new phenomenon of the last two decades. During that period, they have increased in number, complexity, and agility, while their design and development have been processes well kept under secrecy. As a consequence, limited data(sets) regarding these incidents are available. Although various academic and practitioner public communities addressed some of the key points and dilemmas that surround cyber operations (such as attack, target identification and selection, and collateral damage), still methodologies and models are needed in order to plan, execute, and assess them in a responsibly and legally compliant way. Based on these facts, it is the aim of this article to propose a model that i)) estimates and classifies the effects of cyber operations, and ii) assesses proportionality in order to support targeting decisions in cyber operations. In order to do that, a multi-layered fuzzy model was designed and implemented by analysing real and virtual realistic cyber operations combined with interviews and focus groups with technical - military experts. The proposed model was evaluated on two cyber operations use cases in a focus group with four technical - military experts. Both the design and the results of the evaluation are revealed in this article.
This item appears in the following Collection(s)
- Academic publications [245131]
- Electronic publications [132467]
- Faculty of Social Sciences [30338]
- Open Access publications [106059]
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