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Human immune-based model for intrusion detection in mobile ad hoc networks

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Abstract

Mobile ad hoc network (MANET) is a collection of mobile, decentralized and self-organizing nodes that are used in special cases such as medical and military purposes. Securing mobile ad hoc network MANET is a crucial research issue. The properties of MANET impede the protection of the network’s environment against attacks. MANET as an open area of wireless mobile nodes allow external attackers to join the network easily and masquerade legitimate nodes. Therefore, the objective of this paper is to develop a distributed, self-organizing and hybrid intelligent model, called dendritic cell fuzzy algorithm (DCFA), for security routing in MANET. The DCFA model inspiring the detection functionality of dendritic cells (DCs) in human immune system (HIS) and the accurate decision-making functionality of fuzzy logic theory to detect network attacks in MANET. The DCFA model is developed and validated by detecting a flooding-based attack, namely, a resource consumption attack (RCA). QualNet v5.0.2 is used as a simulation environment to test the capability of DCFA in detecting RCA over MANET. The results show the capability of DCFA to perform the detection operation with high efficiency and effectiveness.

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Notes

  1. A fresh enough route contains a sequence number greater than or equal to that in the RREQ packet.

  2. The unit of energy is joule. Mjoule is millijoule, which is equal to 1 × 10−3 joule.

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Acknowledgments

This research project was funded by Deanship of Scientific Research, Princess Nourah bint Abdulrahman University, through the Program of Research Project Funding After Publication, grant No (41 - PRFA-P-2).

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Authors and Affiliations

  1. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia

    Maha Abdelhaq, Abeer Algarni & Maali Alabdulhafith

  2. Research Center for Software Technology and Management, Faculty of Information Science and Technology, National University of Malaysia, 43600, Bangi, Selangor, Malaysia

    Maha Abdelhaq & Mustafa Tariq

  3. Department of Information Technology, College of Computing and Informatics, Saudi Electronic University, Riyadh, 93499, Saudi Arabia

    Raed Alsaqour

  4. Department of Computer Engineering and IT, Faculty of Engineering, Zanzibar University, Zanzibar, Tanzania

    Mahmoud Alawi

  5. Department of Information Technology, National Security Advisory (NSA), Baghdad, Iraq

    Aqeel Taha

  6. Department of Information Technology, Faculty of Information Technology, Ahlia University, Manama, Bahrain

    Baraa Sharef

Authors
  1. Maha Abdelhaq
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  2. Raed Alsaqour
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  3. Abeer Algarni
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  4. Maali Alabdulhafith
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  5. Mahmoud Alawi
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  6. Aqeel Taha
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  8. Mustafa Tariq
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Correspondence to Maha Abdelhaq.

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Abdelhaq, M., Alsaqour, R., Algarni, A. et al. Human immune-based model for intrusion detection in mobile ad hoc networks. Peer-to-Peer Netw. Appl. 13, 1046–1068 (2020). https://doi.org/10.1007/s12083-019-00862-9

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