Title
Mapreduce Intrusion Detection System Based On A Particle Swarm Optimization Clustering Algorithm
Abstract
The increasing volume of data in large networks to be analyzed imposes new challenges to an intrusion detection system. Since data in computer networks is growing rapidly, the analysis of these large amounts of data to discover anomaly fragments has to be done within a reasonable amount of time. Some of the past and current intrusion detection systems are based on a clustering approach. However, in order to cope with the increasing amount of data, new parallel methods need to be developed in order to make the algorithms scalable. In this paper, we propose an intrusion detection system based on a parallel particle swarm optimization clustering algorithm using the MapReduce methodology. The use of particle swarm optimization for the clustering task is a very efficient way since particle swarm optimization avoids the sensitivity problem of initial cluster centroids as well as premature convergence. The proposed intrusion detection system processes large data sets on commodity hardware. The experimental results on a real intrusion data set demonstrate that the proposed intrusion detection system scales very well with increasing data set sizes. Moreover, it achieves close to the linear speedup by improving the intrusion detection and false alarm rates.
Year
DOI
Venue
2013
10.1109/CEC.2013.6557670
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
data models,computer networks,particle swarm optimization,premature convergence,intrusion detection,parallel algorithms,testing,mathematical model,clustering algorithms,computer network security,vectors
Particle swarm optimization,Data mining,Premature convergence,Parallel algorithm,Computer science,Network security,Multi-swarm optimization,Artificial intelligence,Cluster analysis,Intrusion detection system,Machine learning,Speedup
Conference
Citations 
PageRank 
References 
8
0.51
8
Authors
2
Name
Order
Citations
PageRank
Ibrahim Aljarah170333.62
Simone A Ludwig21309179.41