Name
Abstract | ||
|---|---|---|
With the reliance of businesses, public institutions and individuals on large computer networks, maintaining their security becomes essential to ensure integrity. To achieve situational awareness, we developed Banksafe, which is a scalable, distributed and web-based visualization system to analyze health monitoring data and security datasets. To handle large amounts of data a cloud-based backend database is used to store and analyze the raw data. To evaluate the effectiveness of our approach we use both VAST 2012 mini challenges. Our case studies successfully identify suspicious events, trends and patterns using multiple visualizations. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/VAST.2012.6400528 | VAST '12 Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | DocType | ISSN |
large computer network,large-scale computer network,visual situational awareness tool,security datasets,mini challenge,public institution,health monitoring data,multiple visualization,large amount,case study,raw data,cloud-based backend database | Conference | 2325-9442 |
Citations | PageRank | References |
2 | 0.38 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Fischer | 1 | 199 | 12.94 |
| Fuchs, J. | 2 | 206 | 15.29 |
| Florian Mansmann | 3 | 589 | 35.91 |
| Daniel A. Keim | 4 | 7704 | 1141.60 |