Name
Title | ||
|---|---|---|
Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduce |
Abstract | ||
|---|---|---|
The growing data traffic in large networks faces new challenges requiring efficient intrusion detection systems. The analysis of this high volume of data traffic to discover attacks has to be done very quickly. However, in order to be able to process large data, new distributed and parallel methods need to be developed. Several approaches are proposed to build intrusion systems using clustering approaches. In this paper, we introduce an intrusion detection system based on a parallel particle swarm optimization clustering algorithm using the MapReduce framework. The proposed system is scalable in processing large data on commodity hardware. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2464576.2464661 | GECCO (Companion) |
Keywords | Field | DocType |
large data,clustering approach,intrusion system,data traffic,parallel method,parallel pso clustering,efficient intrusion detection system,new challenge,scalable intrusion detection system,parallel particle swarm optimization,intrusion detection system,large network,data clustering,parallel processing,particle swarm optimization,intrusion detection | Particle swarm optimization,Data mining,Large networks,Intrusion,Data traffic,Computer science,Cluster analysis,Commodity hardware,Intrusion detection system,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
6 | 0.44 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ibrahim Aljarah | 1 | 703 | 33.62 |
| Simone A Ludwig | 2 | 1309 | 179.41 |