Title :
Visual analytics for network security
Author :
Shurkhovetskyy, Georgiy ; Bahey, Ahmed ; Ghoniem, Mohammad
Author_Institution :
Modern Sciences and Arts University
Abstract :
To visualize the VAST 2012 Mini Challenge 2 datasets, we use the InfoVis Toolkit (IVTK). Custom visualizations as well as extra interaction capabilities have been added to the toolkit. Custom-made Python scripts are used for data preprocessing purposes. In this work, we show how visualization tools may be combined to leverage network forensic analysis tasks.
Keywords :
H.5.2 [Information Interfaces and Presentation]; User Interfaces — Interaction Systems;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
DOI :
10.1109/VAST.2012.6400506
