Towards a taxonomy of intrusion-detection systems
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on computer network security
Parallel bargrams for consumer-based information exploration and choice
Proceedings of the 14th annual ACM symposium on User interface software and technology
Visualization of Power System Data
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 4 - Volume 4
Home-centric visualization of network traffic for security administration
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
IDS RainStorm: Visualizing IDS Alarms
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
A Visualization Methodology for Characterization of Network Scans
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Evaluation of Critical Infrastructures: Challenges and Viable Approaches
Architecting Dependable Systems V
A Novel Visualization Technique for Electric Power Grid Analytics
IEEE Transactions on Visualization and Computer Graphics
Interactive Information Visualization for Sensemaking in Power Grid Supervisory Systems
IV '11 Proceedings of the 2011 15th International Conference on Information Visualisation
Visualizing set-valued attributes in parallel with equal-height histograms
Proceedings of the International Working Conference on Advanced Visual Interfaces
| Hi-index | 0.00 |
Electrical grid planning aims at optimizing the grid through the control of the performance and placement of electrical assets in order to minimize failures or vulnerabilities. With this purpose, grid planners carry out an initial stage of data exploration using a large volume of incident and equipment data collected over extensive time periods. In current practice these tasks are performed manually, which makes it very difficult to recognize patterns and gain insights into the data. In this paper, we propose a parallel multivariate visualization technique as a suitable approach for improving the existing practice. Based on the usage of an interactive visualization tool called BarExam, we demonstrate the feasibility of this visualization technique for displaying the dataset and present example insights that this visualization technique can provide to grid planners.