Towards a Cyber Conflict Taxonomy
Scott Applegate, Angelos Stavrou · International Conference on Cyber Conflict · 2013
This paper seeks to create a practical taxonomy to describe cyber conflict events and the actors involved in them in a manner that is useful to security practitioners and researchers working in the domain of cyber operations. The proposed Cyber Conflict Taxonomy is an extensible network taxonomy organized as a plex data structure. Subjects of the taxonomy are entered as either Events or Entities and are then categorized using the categories and subcategories of Actions or Actors. Each of these categories is further subdivided into increasingly specific subcategories used to describe the defining characteristics of each subject and labeled lateral linkages are used to illustrate the associative relationships between Entities and Events. The categories are organized in both a hierarchical and associative manner to illustrate the relationships between subjects and categories. A prototype of this taxonomy was developed and tested using a test set of recent cyber conflict events and used to explore the relationship and connections between these events and the states, groups or individuals that participated in them. Furthermore, this taxonomy can potentially identify actors across different events based on their similar method of operation, toolsets and target sets.