Name
Title | ||
|---|---|---|
A new network anomaly detection technique based on per-flow and per-service statistics |
Abstract | ||
|---|---|---|
In the present network security management, improvements in the performances of Intrusion Detection Systems(IDSs) are strongly desired. In this paper, we propose a network anomaly detection technique which can learn a state of network traffic based on per-flow and per-service statistics. These statistics consist of service request frequency, characteristics of a flow and code histogram of payloads. In this technique, we achieve an effective definition of the network state by observing the network traffic according to service. Moreover, we conduct a set of experiments to evaluate the performance of the proposed scheme and compare with those of other techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596981_37 | CIS (2) |
Keywords | Field | DocType |
network anomaly detection technique,per-service statistic,network state,effective definition,proposed scheme,network traffic,intrusion detection systems,present network security management,new network anomaly detection,code histogram,service request frequency,intrusion detection system,network security | Anomaly detection,Histogram,Traffic flow,Computer science,Flow (psychology),Network simulation,Network management,Statistics,Intrusion detection system,Payload | Conference |
Volume | ISSN | ISBN |
3802 | 0302-9743 | 3-540-30819-9 |
Citations | PageRank | References |
1 | 0.37 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuji Waizumi | 1 | 37 | 5.86 |
| Daisuke Kudo | 2 | 1 | 0.37 |
| Nei Kato | 3 | 3982 | 263.66 |
| Yoshiaki Nemoto | 4 | 920 | 70.38 |