Enhancing Cyber Defense Situational Awareness Using 3D Visualizations
dc.contributor.author | Kullman, Kaur | |
dc.contributor.author | Cowley, Jennifer | |
dc.contributor.author | Ben-Asher, Noam | |
dc.date.accessioned | 2022-11-21T21:46:29Z | |
dc.date.available | 2022-11-21T21:46:29Z | |
dc.date.issued | 2018-03 | |
dc.description | 13th International Conference on Cyber Warfare and Security ICCWS 2018 At: National Defense University, Washington DC, March 2018 | en_US |
dc.description.abstract | The human visual system is generally more adept at inferring meaning from graphical objects and natural scene elements than reading alphanumeric characters. Graphical objects like charts and graphs in cybersecurity dashboards often lack the requisite numbers of features to depict behaviors of complex network data. For example, bar charts afford few features to encode a panoply of parameters in network data. Furthermore, dashboard visualizations seldom support the transition of human work from situation awareness building to requisite responses during intrusion detection events. This research effort aims to identify how graphical objects (also referred as data-shapes) depicted in Virtual Reality tools, developed in accordance with an analyst’s mental model of an intrusion detection event, can enhance analyst’s situation awareness. We demonstrate the proposed approach using Locked Shields 16 CDX network traffic. Implications of this study and future case study are discussed. | en_US |
dc.description.sponsorship | For all the hints, ideas and mentoring, authors thank Alexander Kott, Jaan Priisalu, Olaf Manuel Maennel and Lee Trossbach. This research was partly supported by the Army Research Laboratory under Cooperative Agreement Number W911NF-13-2-0045 (ARL Cyber Security CRA) and under Cooperative Agreement Number W911NF-16-2-0113 and W911NF-17-2-0083. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. | en_US |
dc.description.uri | https://www.proquest.com/openview/2c394056c4883bb29f2c1cd53590b453/1?pq-origsite=gscholar&cbl=396500 | en_US |
dc.format.extent | 11 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.genre | journal articles | en_US |
dc.identifier | doi:10.13016/m2wofd-b3j4 | |
dc.identifier.citation | Kullman, K.; Cowley, J.; Ben-Asher, N. (2018). Enhancing Cyber Defense Situational Awareness Using 3D Visualizations. Proceedings of the 13th International Conference on Cyber Warfare and Security ICCWS 2018: National Defense University, Washington DC, USA 8-9 March 2018. Ed. JS Hurley, JQ Chen. Academic Conferences and Publishing International Limited, 369−378. https://www.researchgate.net/publication/323694322_Enhancing_Cyber_Defense_Situational_Awareness_Using_3D_Visualizations | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/26338 | |
dc.language.iso | en_US | en_US |
dc.publisher | Academic Conferences and Publishing International Limited | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Center for Space Sciences and Technology | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en_US |
dc.rights | Public Domain Mark 1.0 | * |
dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
dc.title | Enhancing Cyber Defense Situational Awareness Using 3D Visualizations | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0001-9480-0583 | en_US |
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