DEVELOPMENT OF BUG FREE MODEL FOR CYBER SECURITY

Management

This paper describes the development process of Effective Execution of Visualisation, a model, from Thematic Analysis on Cognitive Task Analysis papers to address RQ1, arising from the research gaps found. MODEL has been developed to address the needs of cyber-security analysts by providing a model of characteristics of visualisation for cyber-security visualisation solutions. As Franklin et al. (2017) concluded, a system should be built that provides the baseline visualisations required by cyber-security analysts to support the desired workflow. The main challenge faced in conducting research to develop a model in the area of cyber-security visualisation is the lack of access to experts. Vessey’s theory of cognitive fit includes a classification of spatial tasks, which requires problems to be looked at as a whole and requires “...making associations or perceiving relationships in the data” (Vessey, 2015) to find solutions for the problems (Teets, Tegarden, & Russell, 2010). To perceive the use of cyber-security visualisation solutions by analysts, Cognitive Task Analysis (CTA) papers were found which described studies with cyber-security analysts. Thematic analysis was performed on these CTA papers, so that MODEL could be built by forming relationships from the themes that arose. Models provide a standard mechanism through which knowledge can be documented, updated and shared by operators, manufacturers, and researchers, to enhance understanding for all stakeholders. Models which describe a domain underpin crucial understanding required to inform software design, using modelling languages such as UML1. This stems from The Software Engineering Body Of Knowledge recommending building a model of the context of the potential software before development, to understand the operational environment and to identify the interfaces within the system’s environment. Models provide a standard mechanism through which knowledge can be documented, updated and shared by operators, manufacturers, and researchers, to enhance understanding for all stakeholders.

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