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RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

Author

Listed:
  • Mohamed Amine Ferrag

    (Department of Computer Science, Guelma University, Guelma 24000, Algeria)

  • Leandros Maglaras

    (School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK)

  • Ahmed Ahmim

    (Departement of Mathematics and Computer Science, Mohamed-Cherif Messaadia University, Souk Ahras 41000, Algeria)

  • Makhlouf Derdour

    (Departement of Mathematics and Computer Science, University of Larbi Tebessi, Tebessa 12002, Algeria)

  • Helge Janicke

    (Cyber Security Cooperative Research Centre, Edith Cowan University, Perth 6027, Australia)

Abstract

This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algorithm and Forest PA. Specifically, the first and second method take as inputs features of the data set, and classify the network traffic as Attack/Benign. The third classifier uses features of the initial data set in addition to the outputs of the first and the second classifier as inputs. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset and BoT-IoT dataset, attest their superiority in terms of accuracy, detection rate, false alarm rate and time overhead as compared to state of the art existing schemes.

Suggested Citation

  • Mohamed Amine Ferrag & Leandros Maglaras & Ahmed Ahmim & Makhlouf Derdour & Helge Janicke, 2020. "RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks," Future Internet, MDPI, vol. 12(3), pages 1-14, March.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:3:p:44-:d:327127
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    References listed on IDEAS

    as
    1. Yan Hu & An Yang & Hong Li & Yuyan Sun & Limin Sun, 2018. "A survey of intrusion detection on industrial control systems," International Journal of Distributed Sensor Networks, , vol. 14(8), pages 15501477187, August.
    2. Mohamed Amine Ferrag, 2017. "EPEC: an efficient privacy-preserving energy consumption scheme for smart grid communications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(4), pages 671-688, December.
    3. Alcaraz, Cristina & Zeadally, Sherali, 2015. "Critical infrastructure protection: Requirements and challenges for the 21st century," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 53-66.
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    Cited by:

    1. Sriranga Suprabhath Koduru & Venkata Siva Prasad Machina & Sreedhar Madichetty, 2023. "Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review," Energies, MDPI, vol. 16(12), pages 1-36, June.

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