Capturing human cognition in cyber-security simulations with NETS

Nicklaus A. Giacobe, Michael D. McNeese, Vincent F. Mancuso, Dev Minotra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

As new technologies are employed to improve cyber-security, designers often make claims that their interfaces improve usability, improve situation awareness, reduce cognitive load, or improve team cognition. However, the assessment of these claims is complex because these higher cognitive functions are often difficult to measure. This paper outlines a three human-subjects experiments, using the NETS simulation engine, to explore human cognition in simulated cyber-security environments. First, the salient features of the NETS simulator are described. Second, the three experiments are each outlined to include a description the individual cognitive measurements that were assessed. Next, a summarization of results from all three experiments will compare the important findings. This paper concludes with a discussion of key factors that should be considered when attempting to quantify differences in human cognition when presented with novel visualization approaches in a cyber-security context.

Original languageEnglish (US)
Title of host publicationIEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationBig Data, Emergent Threats, and Decision-Making in Security Informatics
Pages284-288
Number of pages5
DOIs
StatePublished - Sep 9 2013
Event11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 - Seattle, WA, United States
Duration: Jun 4 2013Jun 7 2013

Publication series

NameIEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics

Other

Other11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013
CountryUnited States
CitySeattle, WA
Period6/4/136/7/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Giacobe, N. A., McNeese, M. D., Mancuso, V. F., & Minotra, D. (2013). Capturing human cognition in cyber-security simulations with NETS. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics (pp. 284-288). [6578844] (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). https://doi.org/10.1109/ISI.2013.6578844