Name
Title | ||
|---|---|---|
Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems |
Abstract | ||
|---|---|---|
In the paper, we propose a fast algorithm to generate fuzzy association rules by incremental mining approach, for which the transactions or data records are online instantly collected from live packets. That is, as one data record is collected online, the latest fuzzy rules can be obtained immediately. According to our simulation, in case of the number of features do not excess twenty, mining process can be completed from several milliseconds to seconds depending on the number of features. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WAINA.2008.69 | AINA Workshops |
Keywords | Field | DocType |
generate fuzzy rules,fuzzy reasoning,data record,mining process,fuzzy association rules generation,live packet,real-time network intrusion detection,fuzzy association rule,incremental mining,network security,fast algorithm,network intrusion detection system,latest fuzzy rule,incremental mining approach,data mining,on-line mining,security of data,algorithm design and analysis,intrusion detection,real time,real time systems,fuzzy systems,application software,association rules,principal component analysis | Data mining,Fuzzy reasoning,Computer science,Fuzzy logic,Network packet,Network security,Real time networks,Artificial intelligence,Fuzzy association rules,Intrusion detection system,Machine learning,Data records | Conference |
ISBN | Citations | PageRank |
978-0-7695-3096-3 | 1 | 0.41 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Yang Su | 1 | 362 | 22.26 |
| Sheng-Cheng Yeh | 2 | 83 | 12.55 |
| Kai-Chi Chang | 3 | 16 | 2.94 |
| Hua-Fu Wei | 4 | 8 | 1.27 |