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Enhanced Technique for Detecting Active and Passive Black-Hole Attacks in MANET

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1261))

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Abstract

MANETs are still in demand for further developments in terms of security and privacy. However, lack of infrastructure, dynamic topology, and limited resources of MANETs poses an extra overhead in terms of attack detection. Recently, applying modified versions of LEACH routing protocol to MANET has proved a great routing enhancement in preserving nodes vitality, load balancing, and reducing data loss. This paper introduces a newly developed active and passive blackhole attack detection technique in MANET. The proposed technique based on weighing a group of selected node’s features using AdaBoost-SVM on AOMDV-LEACH clustering technique is considered a stable and strong classifier which can strengthen the weights of major features while suppressing the weight of the others. The proposed technique is examined and tested on the detection accuracy, routing overhead. Results show up to 97% detection accuracy in superior execution time for different mobility conditions.

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Authors and Affiliations

  1. ECE-Department, Delta Higher Institute for Engineering & Technology, Mansoura, Egypt

    Marwa M. Eid

  2. Information Technology Department, Faculty of CIS, Mansoura University, Mansoura, Egypt

    Noha A. Hikal

Authors
  1. Marwa M. Eid
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  2. Noha A. Hikal
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Corresponding author

Correspondence to Marwa M. Eid .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Information Technology Department, and Chair of the Scientific Research Group in Egypt, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  3. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  4. Rector of the Electronic Research Institute, Cairo, Egypt

    Hisham El-Deeb

  5. Faculty of computers and information, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Eid, M.M., Hikal, N.A. (2021). Enhanced Technique for Detecting Active and Passive Black-Hole Attacks in MANET. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_23

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