@article{ref1,
title="Hybrid modified K-means with C4.5 for intrusion detection systems in multiagent systems",
journal="ScientificWorldJournal",
year="2015",
author="Laftah Al-Yaseen, Wathiq and Ali Othman, Zulaiha and Ahmad Nazri, Mohd Zakree",
volume="2015",
number="",
pages="e294761-e294761",
abstract="Presently, the processing time and performance of intrusion detection systems are of great importance due to the increased speed of traffic data networks and a growing number of attacks on networks and computers. Several approaches have been proposed to address this issue, including hybridizing with several algorithms. However, this paper aims at proposing a hybrid of modified K-means with C4.5 intrusion detection system in a multiagent system (MAS-IDS). The MAS-IDS consists of three agents, namely, coordinator, analysis, and communication agent. The basic concept underpinning the utilized MAS is dividing the large captured network dataset into a number of subsets and distributing these to a number of agents depending on the data network size and core CPU availability. KDD Cup 1999 dataset is used for evaluation. The proposed hybrid modified K-means with C4.5 classification in MAS is developed in JADE platform. The results show that compared to the current methods, the MAS-IDS reduces the IDS processing time by up to 70%, while improving the detection accuracy.<p /> <p>Language: en</p>",
language="en",
issn="2356-6140",
doi="10.1155/2015/294761",
url="http://dx.doi.org/10.1155/2015/294761"
}