Distributed Intrusion Detection System using Bayesian learning and Apache Mahout

Abstract: If the distributed intrusion detection system do not exist then detecting the intrusions in the networks would have become tedious task and the risk would have been increased. In market there are plenty of different intrusion detection systems available but no one of the distributed type. Many of them make use of pattern matching and different complex algorithms but this makes the system slow. So for proper Distributed intrusion detection system using Bayesian learning in Apache mahout using concepts like K-means clustering, Neuro-Fuzzy, Artificial neural network, Bayesian Learning, Apache Mahout to overcome the flaws like lagging in the detection of the intrusions, fail to detect the intrusion, harm to the system or system failure.

Keywords: K-means, Artificial Neural Network, Neuro-Fuzzy, Bayesian Network, Apache Mahout.