Title :
Analytical Visualization Techniques for Security Information and Event Management
Author :
Novikova, Evgenia ; Kotenko, Igor
Author_Institution :
Lab. of Comput. Security Problems, St.Petersburg Inst. for Inf. & Autom., St. Petersburg, Russia
fDate :
Feb. 27 2013-March 1 2013
Abstract :
The paper proposes the architecture of the visualization component for the Security Information and Event Management (SIEM) system. The SIEM systems help to comprehend large amounts of the security data. Visualization is the essential part of the SIEM systems. The suggested architecture of the visualization component allows incorporating different visualization technologies and extending easily the application functionality. To illustrate the approach, we developed the prototype of the SIEM visualization component. The paper demonstrates the graphical user interface of the attack modeling component. To increase the efficiency of the visualization techniques we applied principles of the human information perception and interaction issues when designing graphical components.
Keywords :
data visualisation; graphical user interfaces; security of data; SIEM systems; analytical visualization techniques; attack modeling component; graphical components; graphical user interface; human information perception; interaction issues; security information and event management system; visualization component; Analytical models; Computer architecture; Data visualization; Image color analysis; Monitoring; Security; attack graph visualization; security information visualization; visualization framework;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2013 21st Euromicro International Conference on
Conference_Location :
Belfast
Print_ISBN :
978-1-4673-5321-2
Electronic_ISBN :
1066-6192
DOI :
10.1109/PDP.2013.84