Name
Title | ||
|---|---|---|
An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks. |
Abstract | ||
|---|---|---|
In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) downward-IDS (D-IDS) to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) upward-IDS (U-IDS) to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/s151128960 | SENSORS |
Keywords | Field | DocType |
intrusion detection,neighborhood watching,clustering,WSN,IDS,hierarchical | Data mining,Intrusion,Engineering,Cluster analysis,Wireless sensor network,Intrusion detection system | Journal |
Volume | Issue | ISSN |
15 | 11 | 1424-8220 |
Citations | PageRank | References |
5 | 0.48 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ismail Butun | 1 | 292 | 15.25 |
| In-Ho Ra | 2 | 5 | 1.15 |
| Ravi Sankar | 3 | 656 | 55.66 |