Name
Title | ||
|---|---|---|
A statistical model for network data analysis: KDD CUP 99’ data evaluation and its comparing with MIT Lincoln Laboratory network data |
Abstract | ||
|---|---|---|
In network data analysis, research about how accurate the estimation model represents the universe is inevitable. As the speed of the network increases, so will the attacking methods on future generation communication network. To correspond to these wide variety of attacks, intrusion detection systems and intrusion prevention systems also need a wide variety of counter measures. As a result, an effective method to compare and analyze network data is needed. These methods are needed because when a method to compare and analyze network data is effective, the verification of intrusion detection systems and intrusion prevention systems can be trusted. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.simpat.2009.09.003 | Simulation Modelling Practice and Theory |
Keywords | Field | DocType |
Data set,Network data modeling,Network data quantification,Intrusion detection,KDD CUP 99 | Data mining,Telecommunications network,Computer science,Effective method,Intrusion prevention system,Artificial intelligence,Statistical model,Network data,Correspondence analysis,Intrusion detection system,Machine learning | Journal |
Volume | Issue | ISSN |
18 | 4 | 1569-190X |
Citations | PageRank | References |
2 | 0.38 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaeik Cho | 1 | 9 | 5.14 |
| Changhoon Lee | 2 | 123 | 15.40 |
| Sang-Hyun Cho | 3 | 143 | 21.38 |
| Jung Hwan Song | 4 | 33 | 3.75 |
| JongIn Lim | 5 | 819 | 75.16 |
| Jongsub Moon | 6 | 190 | 18.22 |