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Peer-to-Peer Networking and Applications
Erschienen in: Peer-to-Peer Networking and Applications 3/2020

30.01.2020

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

verfasst von: Maha Abdelhaq, Raed Alsaqour, Abeer Algarni, Maali Alabdulhafith, Mahmoud Alawi, Aqeel Taha, Baraa Sharef, Mustafa Tariq

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 3/2020

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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.
Vorheriger Artikel Enhanced intrusion detection system via agent clustering and classification based on outlier detection
Nächster Artikel Correction to: Incentive mechanisms for mobile crowd sensing based on supply-demand relationship

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Fußnoten
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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Metadaten
Titel
Human immune-based model for intrusion detection in mobile ad hoc networks
verfasst von
Maha Abdelhaq
Raed Alsaqour
Abeer Algarni
Maali Alabdulhafith
Mahmoud Alawi
Aqeel Taha
Baraa Sharef
Mustafa Tariq
Publikationsdatum
30.01.2020
Verlag
Springer US
Erschienen in
Peer-to-Peer Networking and Applications / Ausgabe 3/2020
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-019-00862-9

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