E.C. Maathuis
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7 records found
1
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.
Cyber Operations stopped being utopia or Sci-Fi based scenarios: they became reality. When planning and conducting them, military actors encounter difficulties since they lack methodologies and models that support their actions and assess their effects. To address these issues by tackling the underlying scientific and practical gap, this article proposes an assessment methodology for the intended and unintended effects of Cyber Operations, labeled as Military Advantage, Collateral Damage and Military Disadvantage, and aims at supporting the targeting process when engaging targets in Cyber Operations. To arrive at this methodology, an extensive review on literature, military doctrine and methodologies was conducted combined with two series of interviews with military commanders and field work in joint military exercises. The assessment methodology is proposed considering multidimensional factors, phases and steps in a technical - military approach. For validation, one realistic Cyber Operation case study was conducted in a focus group with nine military experts plus four face-to-face meetings with another four military experts.
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Due to the advancement of technology and continuing emergence of international conflict situations, wars are now also conducted into the official new battlefield: Cyberspace. Although several incidents have been characterized in terms of cyber operations, there is an important gap in the existing body of knowledge concerning the definition of this concept, and a formal mechanism of representing such operations is lacking. This can produce dissonance and disturbance in the decision making processes and communication in cyber operations, for instance, when planning or assessing their effects. In order to understand what cyber operations represent and to make communication more effective, this article proposes a multidisciplinary definition and a knowledge base for cyber operations implemented as a computational ontology. This article follows a design science approach and grounds its sources in extensive literature review, reports, military doctrine, case studies, evaluation interviews and direct participation and observation in joint military operations exercises and experience in writing cyber operations scenarios. The computational ontology has been designed to reflect the understanding of and the necessary communication in cyber operations based on the abovementioned sources. Its upper classes are: Context, Actor, Type, MilitaryObjective, Phase, Target, Cyber Weapon, Asset, Geolocation, Action and Effect. The ontology has been developed in Protégé by using the Ontology Engineering Methodology, and contains 140 classes, 37 individuals and 94 properties. This ontology makes possible the classification of the essential entities of a cyber operation: Military objective, target, cyber weapon/capability and effect. The proposed ontology has been exemplified and evaluated on two case studies conducted on Operation Olympic Games/Stuxnet and Georgia and with the help of two military experts with international experience. The validation results show that the proposed ontology is effective in representing cyber operations accurately, clearly and concisely. To increase its applicability, future research will focus on assessing the effects of Cyber Operations.