Mining intrusion detection alarms for actionable knowledge
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
An Information Visualization Framework for Intrusion Detection
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Exploring Three-dimensional Visualization for Intrusion Detection
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Interactively combining 2D and 3D visualization for network traffic monitoring
Proceedings of the 3rd international workshop on Visualization for computer security
Design guidelines for system administration tools developed through ethnographic field studies
Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
Command line or pretty lines?: comparing textual and visual interfaces for intrusion detection
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The challenges of using an intrusion detection system: is it worth the effort?
Proceedings of the 4th symposium on Usable privacy and security
Guidelines for designing IT security management tools
Proceedings of the 2nd ACM Symposium on Computer Human Interaction for Management of Information Technology
Development of a comprehensive intrusion detection system – challenges and approaches
ICISS'05 Proceedings of the First international conference on Information Systems Security
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The cognitively challenging task of Intrusion Detection, undertaken by Network Security Engineers (NSE) even through a sophisticated Intrusion Detection System (IDS), demands considerable effort and time in figuring out the real intrusion attempts. We believe that a support system providing contextual assistance in the task of Intrusion detection would be of immense help to the Network Security Engineers. In this paper, we discuss about the features and mechanisms of such an intelligent contextual support system, along with the implementation and quantitative evaluation of it by using certain observable parameters of performance. The results indicated improvement in the productivity of the NSE and also the usability of the IDS.