Fuzzy Logic based Intrusion Detection System against Black Hole Attack in Mobile Ad Hoc Networks

Authors

  • Houda Moudni Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal
  • Mohamed Er-rouidi Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal
  • Hicham Mouncif Faculty Polydisciplinary, Sultan Moulay Slimane University, Beni Mellal
  • Benachir El Hadadi Faculty Polydisciplinary, Sultan Moulay Slimane University, Beni Mellal

DOI:

https://doi.org/10.17762/ijcnis.v10i2.3267

Abstract

A Mobile Ad hoc NETwork (MANET) is a group of mobile nodes that rely on wireless network interfaces, without the use of fixed infrastructure or centralized administration. In this respect, these networks are very susceptible to numerous attacks. One of these attacks is the black hole attack and it is considered as one of the most affected kind on MANET. Consequently, the use of an Intrusion Detection System (IDS) has a major importance in the MANET protection. In this paper, a new scheme has been proposed by using an Adaptive Neuro Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) for mobile ad hoc networks to detect the black hole attack of the current activities. Evaluations using extracted database from a simulated network using the Network Simulator NS2 demonstrate the effectiveness of our approach, in comparison to an optimized IDS based ANFIS-GA.

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Published

2018-08-08 — Updated on 2022-04-17

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How to Cite

Moudni, H., Er-rouidi, M., Mouncif, H., & El Hadadi, B. (2022). Fuzzy Logic based Intrusion Detection System against Black Hole Attack in Mobile Ad Hoc Networks. International Journal of Communication Networks and Information Security (IJCNIS), 10(2). https://doi.org/10.17762/ijcnis.v10i2.3267 (Original work published August 8, 2018)

Issue

Vol. 10 No. 2 (2018)

Section

Research Articles