Name
Abstract | ||
|---|---|---|
Efficient visualization of cyber incidents is the key in securing increasingly complex information infrastructure. Extrapolating security-related information from data from multiple sources can be a daunting task for organizations to maintain safe and secure operating environment. However, meaningful visualizations can significantly improve decision-making quality and help security administrators in taking rapid response. The purpose of this work is to explore this possibility by building on previously gained knowledge and understanding of weather maps used in meteorology, assessing the gaps, and applying various techniques and matrices to quantify the impacts of cyber incidences in an efficient way. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CICYBS.2011.5949412 | Computational Intelligence in Cyber Security |
Keywords | Field | DocType |
data visualisation,security of data,complex information infrastructure,cyber incidents visualization,cyber security storm map,decision making quality,event correlation,security related information,security visualization,cyber security,event correlation,information visualization,random matrix theory | Data visualization,Information visualization,Computer security,Visualization,Computer science,Information security management,Cloud computing security,Security information and event management,Information infrastructure,Computer security model | Conference |
ISBN | Citations | PageRank |
978-1-4244-9905-2 | 1 | 0.43 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denise Ferebee | 1 | 16 | 3.59 |
| Dipankar Dasgupta | 2 | 1226 | 121.74 |
| Michael Schmidt | 3 | 104 | 11.66 |
| Qishi Wu | 4 | 734 | 62.01 |