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Related Concept Videos

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Related Experiment Videos

Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems.

Wathiq Laftah Al-Yaseen1, Zulaiha Ali Othman2, Mohd Zakree Ahmad Nazri2

  • 1Data Mining and Optimization Research Group (DMO), Centre for Artificial Intelligence Technology (CAIT), School of Computer Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bandar Baru Bangi, Malaysia ; Al-Furat Al-Awsat Technical University, Iraq.

Thescientificworldjournal
|July 11, 2015
PubMed
Summary

This study introduces a hybrid intrusion detection system (IDS) using modified K-means and C4.5 within a multiagent system (MAS-IDS). The novel MAS-IDS significantly enhances network security by reducing processing time by up to 70% and improving detection accuracy.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Artificial Intelligence

Background:

  • Network security is critical due to increasing network speeds and cyber threats.
  • Existing intrusion detection systems (IDS) face challenges with processing time and performance.
  • Hybridization of algorithms is a common strategy to improve IDS capabilities.

Purpose of the Study:

  • To propose a novel hybrid intrusion detection system (MAS-IDS) integrating modified K-means and C4.5 algorithms within a multiagent system.
  • To enhance the processing speed and detection accuracy of intrusion detection systems.
  • To leverage a multiagent system architecture for distributed network data analysis.

Main Methods:

  • Developed a multiagent system (MAS-IDS) comprising coordinator, analysis, and communication agents.
  • Implemented a hybrid approach combining modified K-means clustering with C4.5 decision tree classification.
  • Utilized the JADE platform for the development and evaluation of the MAS-IDS.
  • Partitioned large network datasets and distributed them across agents based on network size and CPU availability.

Main Results:

  • The proposed MAS-IDS demonstrated a reduction in IDS processing time by up to 70% compared to current methods.
  • Improved detection accuracy was observed with the implemented hybrid approach.
  • The multiagent system effectively managed and processed distributed network data subsets.

Conclusions:

  • The hybrid modified K-means with C4.5 in a multiagent system offers a significant improvement in IDS performance.
  • MAS-IDS provides a scalable and efficient solution for real-time network intrusion detection.
  • This approach effectively addresses the challenges of processing time and accuracy in modern network security systems.