Name
Abstract | ||
|---|---|---|
We present distributed self-organized model for collaboration of multiple heterogeneous IDS sensors. The adaptation model is based on a game-theoretical approach that optimizes the behavior of each IDS node with respect to other nodes in highly dynamic environment. We performed initial experimental evaluation of the proposed collaboration model on two autonomous IDS detectors deployed on different parts of university network. We show that this Intrusion Detection Network significantly improves the detection effectiveness and brings advanced defensive mechanism against novel highly sophisticated threats. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-30633-4_14 | AIMS |
Keywords | Field | DocType |
self-organized collaboration,different part,autonomous ids sensor,autonomous ids detector,intrusion detection network,defensive mechanism,multiple heterogeneous ids sensor,detection effectiveness,proposed collaboration model,ids node,self-organized model,adaptation model | Regret minimization,Computer science,Computer network,Constant false alarm rate,Detector,Intrusion detection system,Alert correlation,Distributed computing | Conference |
Volume | ISSN | Citations |
7279 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karel Bartos | 1 | 110 | 12.60 |
| Martin Rehak | 2 | 251 | 28.57 |