DocumentCode :
2796319
Title :
M-Sieve: A visualisation tool for supporting network security analysts: VAST 2012 Mini Challenge 1 award: “Subject matter expert´s award”
Author :
Choudhury, Sankhayan ; Kodagoda, Neesha ; Nguyen, P. ; Rooney, Chris ; Attfield, Simon ; Xu, Ke ; Zheng, Yu ; Wong, B. L. William ; Chen, Ru Shan ; Mapp, Glenford ; Slabbert, L. ; Aiash, Mahdi ; Lasebae, Aboubaker
Author_Institution :
Middlesex University
fYear :
2012
fDate :
14-19 Oct. 2012
Firstpage :
265
Lastpage :
266
Abstract :
The Middlesex Spatial Interactive Visualisation Environment (M-Sieve) is a spatiotemporal visual analytics tool for exploring computer network activity. M-Sieve allows the user to filter and visualize data through facets to explore and find patterns. To help guide exploration, we developed a set of rules which are used to derive a variable we call the ‘Concern Level Assessment’ (CLA). The CLA is based on attributes of nodes on the network. The rules were developed by eliciting inferences from network security domain experts. The combination of M-Sieve and the CLA allowed us to address the problem presented by the VAST 2012 Competition — Mini Challenge 1.
Keywords :
Human Factors; Information Visualisation; Network Security; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
Type :
conf
DOI :
10.1109/VAST.2012.6400524
Filename :
6400524
Link To Document :
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