Name
Abstract | ||
|---|---|---|
In the last few years, the number and impact of security attacks over the Internet have been continuously increasing. Since it seems impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems has emerged as a key element in network security. In this paper we address the problem considering a novel technique for detecting network anomalies. Our approach is based on the combined use of sketch and wavelet analysis to reveal the anomalies present in data collected at the router level. The performance analysis, presented in this paper, demonstrates the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1815396.1815473 | IWCMC |
Keywords | Field | DocType |
performance analysis,network anomaly,anomalies present,network anomaly detection,key element,complete protection,network security,intrusion detection systems,security attack,combined use,wavelet analysis,intrusion detection system,anomaly detection,pca,data collection | Data mining,Anomaly detection,Computer science,Network security,Computer network,Anomaly-based intrusion detection system,Router,Intrusion detection system,Sketch,Wavelet,The Internet | Conference |
Citations | PageRank | References |
7 | 0.52 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Callegari | 1 | 7 | 0.52 |
| Stefano Giordano | 2 | 609 | 86.56 |
| Michele Pagano | 3 | 198 | 31.51 |
| Teresa Pepe | 4 | 123 | 11.26 |