Abstract
The design of solutions to problems in the information technology (IT) domain provides unique challenges. Many times the problem may not be solvable or presents phenomenological aspects. A well known IT problem is the insider threat. This unique threat is its position within the trusted boundary of an organization. They are behind the defenses put in place to keep the external attackers out. The insiders are those individuals that know the security processes and can easily circumvent these practices. Using Design Science research (DSR) allows for the exploration and iteration of possible solutions through design and scientific methods in parallel. This paper provides the findings of the intelligent agent research that was presented at the DESRIST 2015, where DSR created the Artificial Intelligent Memory Inference Engine (AIMIE). This research found that using already-in-place computing infrastructure for AIMIE’s architecture and Emergent Intelligence creates an economic tool for insider threat detection.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Blackwell, C.: Security architecture to protect against the insider threat from damage, fraud and theft. In: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies, p. 45. ACM, April 2009
Hevner, A., Chatterjee, S.: Design Research in Information Systems: Theory and Practice, vol. 22. Springer Science & Business Media, Heidelberg (2010)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)
Simon, H.A.: The Sciences of the Artificial, vol. 136. MIT Press, Cambridge (1996)
Tagle, B.J.: Exploring an intelligent agent with the cognitive units using interred-based rules and linear genetic programming as an economic insider threat monitoring solution using design science research. Unpublished doctoral dissertation, Colorado Technical University, Colorado (2016)
Tagle, B., Edwards, S.: Arabesque: software development process model for design science research (DRS Working Paper No. 513). Submitted to Conference the 50th Anniversary Design + Research + Society Conference, DRS 2016, Brighton, England, June 2016, pp. 27–30 (2015)
Tagle, B., Felch, H.: Exploring an agent as an economic insider threat solution. In: 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 2015
Tichy, W.F.: Should computer scientists experiment more? Computer 31(5), 32–40 (1998)
Vaishnavi, V.K., Kuechler, W.: Design Science Research Methods and Patterns: Innovating Information and Communication Technology. CRC Press, Boca Raton (2015)
Venable, J.: The role of theory and theorising in design science research. In: Proceedings of the 1st International Conference on Design Science in Information Systems and Technology (DESRIST 2006), pp. 1–18, February 2006
Wooldridge, M.: An Introduction to Multi-agent Systems. Wiley, Hoboken (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Tagle, B., Felch, H. (2016). Conclusion to an Intelligent Agent as an Economic Insider Threat Solution: AIMIE. In: Parsons, J., Tuunanen, T., Venable, J., Donnellan, B., Helfert, M., Kenneally, J. (eds) Tackling Society's Grand Challenges with Design Science. DESRIST 2016. Lecture Notes in Computer Science(), vol 9661. Springer, Cham. https://doi.org/10.1007/978-3-319-39294-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-39294-3_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39293-6
Online ISBN: 978-3-319-39294-3
eBook Packages: Computer ScienceComputer Science (R0)