Exploring an agent as an economic insider threat solution
The insider threat is a security problem that is well-known and has a long history, yet it still remains an invisible enemy. Insiders know the security processes and have accesses that allow them to easily cover their tracks. In recent years the idea of monitoring separately for these threats has come into its own. However, the tools currently in use have disadvantages and one of the most effective techniques of human review is costly. This paper explores the development of an intelligent agent that uses already in-place computing material for inference as an inexpensive monitoring tool for insider threats. Design Science Research (DSR) is a methodology used to explore and develop an IT artifact, such as for this intelligent agent research. This methodology allows for a structure that can guide a deep search method for problems that may not be possible to solve or could add to a phenomenological instantiation.
Insider threat , Linear genetic programming , Inference , Software agent , Learning
TAGLE, B. & FELCH, H. 2015. Exploring an agent as an economic insider threat solution. In: DONNELLAN, B., GLEASURE, R., HELFERT, M., KENNEALLY, J., ROTHENBERGER, M., CHIARINI TREMBLAY, M., VANDERMEER, D. & WINTER, R. (eds.) At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research Research-in-Progress Papers and Poster Presentations from the 10th International Conference, DESRIST 2015. Dublin, Ireland, 20-22 May. pp. 1-8
©2015, The Author(s).