Title :
An Integrated Visualisation Framework for Intrusion Detection
Author :
Read, Huw ; Blyth, Andrew
Abstract :
This paper builds upon earlier work (H. Read, 2005), (N. Avourdiadis, 2005) regarding the need for advanced visualisation techniques applied within the intrusion detection arena. Individual visualisation tools can tell us a lot about the way different attacks have been initiated, but we cannot pass interesting sets of data from one tool to another to get a different perspective on the attack. While much work has concentrated on novel visualisation techniques, we explore ways to bring different tools together to work seamlessly with one another. This research explores the need for a framework upon which different visualisation tools can sit and communicate with one another to aid analysts in the intrusion detection process. In this paper we present our ideas and our proposition for the framework
Keywords :
data mining; data visualisation; security of data; data mining; individual visualisation tools; integrated visualisation; intrusion detection; Data mining; Data security; Data visualization; Intrusion detection; Middleware; Monitoring; Power system security; Relational databases; Visual databases; XML;
Conference_Titel :
Information Assurance Workshop, 2006 IEEE
Conference_Location :
West Point, NY
Print_ISBN :
1-4244-0130-5
DOI :
10.1109/IAW.2006.1652105