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M-Sieve: a visualisation tool for supporting network security analysts

Authors :
Choudhury, Sharmin (Tinni)
Kodagoda, Neesha
Nguyen, Phong H.
Rooney, Chris
Attfield, Simon
Xu, Kai
Zheng, Yongjun
Wong, B. L. William
Chen, Raymond
Mapp, Glenford E.
Slabbert, Louis
Aiash, Mahdi
Lasebae, Aboubaker
Source :
Proceedings of VisWeek 2012
Publication Year :
2012

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of VisWeek 2012
Accession number :
edsair.core.ac.uk....9480838098207e351558281790cca6ea