Visualizing an information assurance risk taxonomy
Victoria Louise Lemieux, Barbara E. Endicott-Popovsky, Karl Eckler, Thomas Luan Dang, Adam Jansen · 2011
The researchers explore the intersections between Information Assurance and Risk using visual analysis of text mining operations. The methodological approach involves searching for and extracting for analysis those abstracts and keywords groupings that relate to risk within a defined subset of scientific research journals. This analysis is conducted through a triangulated study incorporating visualizations produced using both Starlight and In-Spire visual analysis software. The results are definitional, showing current attitudes within the Information Assurance research community towards risk management strategies, while simultaneously demonstrating the value of visual analysis processes when engaging in sense making of a large body of knowledge.