Mental Model Mapping Method for Cybersecurity

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https://link.springer.com/chapter/10.1007/978-3-030-50309-3_30

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https://doi.org/10.1007/978-3-030-50309-3_30
 http://hdl.handle.net/11603/21406

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UMBC Computer Science and Electrical Engineering Department
UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
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Author/Creator ORCID

https://orcid.org/0000-0001-9480-0583
 https://orcid.org/0000-0001-5303-8780
 https://orcid.org/0000-0003-2838-0140

Date

2020-07-10

Type of Work

conference papers and proceedings
book chapters
preprints
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Citation of Original Publication

Kullman K., Buchanan L., Komlodi A., Engel D. (2020) Mental Model Mapping Method for Cybersecurity. In: Moallem A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2020. Lecture Notes in Computer Science, vol 12210. Springer, Cham. https://doi.org/10.1007/978-3-030-50309-3_30

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Abstract

Visualizations can enhance the efficiency of Cyber Defense Analysts, Cyber Defense Incident Responders and Network Operations Specialists (Subject Matter Experts, SME) by providing contextual information for various cybersecurity-related datasets and data sources. We propose that customized, stereoscopic 3D visualizations, aligned with SMEs internalized representations of their data, may enhance their capability to understand the state of their systems in ways that flat displays with either text, 2D or 3D visualizations cannot afford. For these visualizations to be useful and efficient, we need to align these to SMEs internalized understanding of their data. In this paper we propose a method for interviewing SMEs to extract their implicit and explicit understanding of the data that they work with, to create useful, interactive, stereoscopically perceivable visualizations that would assist them with their tasks.