Name
Title | ||
|---|---|---|
KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research. |
Abstract | ||
|---|---|---|
Many consider the KDD Cup 99 data sets to be outdated and inadequate. Therefore, the extensive use of these data sets in recent studies to evaluate network intrusion detection systems is a matter of concern. We contribute to the literature by addressing these concerns. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MC.2018.2888764 | Computer |
Keywords | Field | DocType |
Intrusion detection,Support vector machines,Training data,Feature extraction,Data mining,Principal component analysis,Machine learning | Data mining,Network intrusion detection,Data set,Software engineering,Computer science,Network security,Support vector machine,Feature extraction,Intrusion detection system,Principal component analysis | Journal |
Volume | Issue | ISSN |
52 | 2 | 0018-9162 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamran Siddique | 1 | 10 | 4.34 |
| Akhtar, Z. | 2 | 18 | 5.51 |
| Farrukh Aslam Khan | 3 | 388 | 34.17 |
| Yangwoo Kim | 4 | 15 | 2.44 |