Name
Abstract | ||
|---|---|---|
Intrusion detection systems (IDSs) generally produce an overwhelming amount of alerts, which are commonly plagued by issues of false positives. It is cumbersome for network administrators to manually traverse text-based alert logs in order to detect threats. In this work, we present a novel radial visualization of IDSs alerts, IDSPlanet, which helps administrators identify false positives, analyze... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCG.2018.2879067 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Data visualization,Continents,Visualization,Correlation,IP networks,Security,Communication networks | Data mining,ENCODE,Data visualization,Telecommunications network,Attack patterns,Computer science,Visualization,Usability,Multimedia,Intrusion detection system,False positive paradox | Journal |
Volume | Issue | ISSN |
38 | 6 | 0272-1716 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Shi | 1 | 30 | 8.73 |
| Ying Zhao | 2 | 219 | 21.13 |
| fangfang zhou | 3 | 3 | 1.19 |
| Shi Rong-hua | 4 | 103 | 21.03 |
| Yaoxue Zhang | 5 | 923 | 97.15 |