Name
Abstract | ||
|---|---|---|
The Visualization for Cyber Security research community (VizSec) addresses longstanding challenges in cyber security by adapting and evaluating information visualization techniques with application to the cyber security domain. This research effort has created many tools and techniques that could be applied to improve cyber security, yet the community has not yet established unified standards for evaluating these approaches to predict their operational validity. In this paper, we survey and categorize the evaluation metrics, components, and techniques that have been utilized in the past decade of VizSec research literature. We also discuss existing methodological gaps in evaluating visualization in cyber security, and suggest potential avenues for future research in order to help establish an agenda for advancing the state-of-the-art in evaluating cyber security visualizations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2671491.2671492 | VizSEC |
Keywords | Field | DocType |
cyber security,evaluation,information visualization | Data mining,World Wide Web,Information visualization,Computer security,Visualization,Computer science,Information visualization techniques | Conference |
Citations | PageRank | References |
14 | 0.65 | 30 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diane Staheli | 1 | 104 | 8.96 |
| Tamara Yu | 2 | 14 | 0.99 |
| R. Jordan Crouser | 3 | 189 | 15.89 |
| Suresh Damodaran | 4 | 14 | 0.65 |
| Kevin Nam | 5 | 14 | 0.65 |
| B. David O'Gwynn | 6 | 19 | 1.60 |
| Sean McKenna | 7 | 66 | 3.56 |
| Lane Harrison | 8 | 243 | 20.22 |