Name
Abstract | ||
|---|---|---|
The secure information transmission is very important in the present scenario. Many intrusion detection system (IDS) have been developed in recent past which are based on either signature information or anomaly information. But all these systems do generate a lot of false detections. In this work a hybrid IDS is being proposed which uses the signature and anomaly information together. The proposed algorithm first explore those traffic features which are changing during an intrusion activity and then based on a predefined threshold value the most prominent features related to attack are identified. Thereafter, these features are included in snort rule set to detect the anomalous traffic. This anomaly detection process is combined with existing signature of snort to produce the better detection. The proposed detection algorithm has been implemented on KDDcup99 dataset. It is observed through experimental results that the proposed algorithm efficiently detect the intrusion activity in the given network. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2388576.2388606 | SIN |
Keywords | Field | DocType |
false detection,better detection,anomaly information,network intrusion detection,secure information transmission,anomaly detection process,intrusion activity,proposed detection algorithm,proposed algorithm,intrusion detection system,signature information,hybrid,cluster | Data mining,Anomaly detection,Network intrusion detection,Intrusion,Computer science,Computer security,Algorithm,Information transmission,Anomaly-based intrusion detection system,Cluster analysis,Intrusion detection system | Conference |
Citations | PageRank | References |
3 | 0.40 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. V. Arya | 1 | 289 | 28.09 |
| Hemant Kumar | 2 | 79 | 4.45 |