Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness
Kodagoda, Neesha, Attfield, Simon ORCID: https://orcid.org/0000-0001-9374-2481, Choudhury, Sharmin (Tinni), Rooney, Chris, Mapp, Glenford E.
ORCID: https://orcid.org/0000-0002-0539-5852, Nguyen, Phong H., Slabbert, Louis, Wong, B. L. William
ORCID: https://orcid.org/0000-0002-3363-0741, Aiash, Mahdi
ORCID: https://orcid.org/0000-0002-3984-6244, Zheng, Yongjun, Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440 and Lasebae, Aboubaker
ORCID: https://orcid.org/0000-0003-2312-9694
(2014)
Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness.
Information Visualization, 13
(4)
.
pp. 346-360.
ISSN 1473-8716
[Article]
(doi:10.1177/1473871613490291)
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Abstract
Information officers and network administrators require tools to help them achieve situation awareness about potential network threats. We describe a response to mini-challenge 1 of the 2012 IEEE VAST challenge in which we developed a visual analytic solution to a network security situation awareness problem. To support conceptual design, we conducted a series of knowledge elicitation sessions with domain experts. These provided an understanding of the information they needed to make situation awareness judgements as well as a characterisation of those judgements in the form of production rules which define a parameter we called the ‘Concern Level Assessment’ (CLA). The CLA was used to provide heuristic guidance within a visual analytic system called MSIEVE. An analysis of VAST challenge assessment sessions using M-SIEVE provides some evidence that intelligent heuristics like this can provide useful guidance without unduly dominating interaction and understanding.
Item Type: | Article |
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Additional Information: | Published online before print June 27, 2013 |
Research Areas: | A. > School of Science and Technology A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > SensoLab group A. > School of Science and Technology > Computer and Communications Engineering |
Item ID: | 11017 |
Notes on copyright: | Neesha Kodagoda, Simon Attfield, Tinni Choudhury, Chris Rooney, Glenford Mapp, Phong H Nguyen, Louis Slabbert, B L William Wong, Mahdi Aiash, Yongjun Zheng, Kai Xu, and Aboubaker Lasebae, Concern level assessment: Building domain knowledge into a visual system to support network-security situation awareness, Information Visualization, Vol 13, Issue 4, pp. 346 - 360.Copyright © 2013 The Author(s). Reprinted by permission of SAGE Publications. |
Useful Links: | |
Depositing User: | Kai Xu |
Date Deposited: | 24 Jul 2013 10:15 |
Last Modified: | 29 Nov 2022 23:21 |
URI: | https://eprints.mdx.ac.uk/id/eprint/11017 |
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