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Trust-Based Intrusion Detection for Multi Path OLSR Protocol

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Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) (SoCPaR 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1383))

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Abstract

In this paper, we have focused on the implementation of a mechanism for detecting malicious nodes in the MP-OLSR routing protocol through the integration of trust reasoning. The study carried out has enabled the emergence of trust rules between nodes based on local information and messages exchanged during the neighborhood discovery process and network topology to make the MP-OLSR protocol more trusted. The correlation between the received control messages allows nodes to validate the neighborhood at one hop and two hops. When the information received is consistent with the MP-OLSR protocol specifications, this reasoning allows the creation of a trust relationship. Otherwise, it allows nodes to be wary of the sources of its inconsistencies. When an attack is detected, the countermeasure proposed allows the attacking node to be isolated from the network and to guarantee its non-participation in the routing mechanism by simply integrating this node in the HELLO message with a modified Link Code, so that it is declared by all the nodes of the network as an attacker.

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Author information

Authors and Affiliations

  1. Computer Sciences Department, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Hicham Zougagh & Youssef Saadi

  2. National School of Applied Sciences, Cadi Ayyad University, Marrakesh, Morocco

    Noureddine Idboufker

Authors
  1. Hicham Zougagh
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  2. Noureddine Idboufker
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  3. Youssef Saadi
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Systems Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Yukio Ohsawa

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M.A. Jabbar

  5. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  6. Queen’s University, Belfast, UK

    Seán McLoone

  7. Northumbria University, Newcastle, UK

    Biju Issac

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Zougagh, H., Idboufker, N., Saadi, Y. (2021). Trust-Based Intrusion Detection for Multi Path OLSR Protocol. In: Abraham, A., et al. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-73689-7_66

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