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Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks

Owing to ad hoc wireless networks’ properties, the implementation of complex security systems with higher computing resources seems troublesome in most situations. Therefore, the usage of anomaly or intrusion detection systems has attracted considerable attention. The detection systems are implement...

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Detalles Bibliográficos
Autores principales: Basomingera, Robert, Choi, Young-June
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663644/
https://www.ncbi.nlm.nih.gov/pubmed/33158143
http://dx.doi.org/10.3390/s20216275
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author Basomingera, Robert
Choi, Young-June
author_facet Basomingera, Robert
Choi, Young-June
author_sort Basomingera, Robert
collection PubMed
description Owing to ad hoc wireless networks’ properties, the implementation of complex security systems with higher computing resources seems troublesome in most situations. Therefore, the usage of anomaly or intrusion detection systems has attracted considerable attention. The detection systems are implemented either as host-based, run by each node; or as cluster/network-based, run by cluster head. These two implementations exhibit benefits and drawbacks, such as when cluster-based is used alone, it faces maintaining protection when nodes delay to elect or replace a cluster head. Despite different heuristic approaches that have been proposed, there is still room for improvement. This work proposes a detection system that can run either as host- or as cluster-based to detect routing misbehavior attacks. The detection runs on a dataset built using the proposed routing-information-sharing algorithms. The detection system learns from shared routing information and uses supervised learning, when previous network status or an exploratory network is available, to train the model, or it uses unsupervised learning. The testbed is extended to evaluate the effects of mobility and network size. The simulation results show promising performance even against limiting factors.
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spelling pubmed-76636442020-11-14 Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks Basomingera, Robert Choi, Young-June Sensors (Basel) Article Owing to ad hoc wireless networks’ properties, the implementation of complex security systems with higher computing resources seems troublesome in most situations. Therefore, the usage of anomaly or intrusion detection systems has attracted considerable attention. The detection systems are implemented either as host-based, run by each node; or as cluster/network-based, run by cluster head. These two implementations exhibit benefits and drawbacks, such as when cluster-based is used alone, it faces maintaining protection when nodes delay to elect or replace a cluster head. Despite different heuristic approaches that have been proposed, there is still room for improvement. This work proposes a detection system that can run either as host- or as cluster-based to detect routing misbehavior attacks. The detection runs on a dataset built using the proposed routing-information-sharing algorithms. The detection system learns from shared routing information and uses supervised learning, when previous network status or an exploratory network is available, to train the model, or it uses unsupervised learning. The testbed is extended to evaluate the effects of mobility and network size. The simulation results show promising performance even against limiting factors. MDPI 2020-11-04 /pmc/articles/PMC7663644/ /pubmed/33158143 http://dx.doi.org/10.3390/s20216275 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Basomingera, Robert
Choi, Young-June
Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title_full Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title_fullStr Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title_full_unstemmed Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title_short Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
title_sort learning from routing information for detecting routing misbehavior in ad hoc networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663644/
https://www.ncbi.nlm.nih.gov/pubmed/33158143
http://dx.doi.org/10.3390/s20216275
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