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A systematic review of routing attacks detection in wireless sensor networks

Wireless sensor networks (WSNs) consist of hundreds, or thousands of sensor nodes distributed over a wide area and used as the Internet of Things (IoT) devices to benefit many home users and autonomous systems industries. With many users adopting WSN-based IoT technology, ensuring that the sensor�...

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Main Authors:	Alansari, Zainab, Anuar, Nor Badrul, Kamsin, Amirrudin, Belgaum, Mohammad Riyaz
Format:	Article
Published:	PeerJ 2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/40781/
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spelling	my.um.eprints.407812023-10-23T08:06:57Z http://eprints.um.edu.my/40781/ A systematic review of routing attacks detection in wireless sensor networks Alansari, Zainab Anuar, Nor Badrul Kamsin, Amirrudin Belgaum, Mohammad Riyaz TK Electrical engineering. Electronics Nuclear engineering Wireless sensor networks (WSNs) consist of hundreds, or thousands of sensor nodes distributed over a wide area and used as the Internet of Things (IoT) devices to benefit many home users and autonomous systems industries. With many users adopting WSN-based IoT technology, ensuring that the sensor's information is protected from attacks is essential. Many attacks interrupt WSNs, such as Quality of Service (QoS) attacks, malicious nodes, and routing attacks. To combat these attacks, especially on the routing attacks, we need to detect the attacker nodes and prevent them from any access to WSN. Although some survey studies on routing attacks have been published, a lack of systematic studies on detecting WSN routing attacks can be seen in the literature. This study enhances the topic with a taxonomy of current and emerging detection techniques for routing attacks in wireless sensor networks to improve QoS. This article uses a PRISMA flow diagram for a systematic review of 87 articles from 2016 to 2022 based on eight routing attacks: wormhole, sybil, Grayhole/ selective forwarding, blackhole, sinkhole, replay, spoofing, and hello flood attacks. The review also includes an evaluation of the metrics and criteria used to evaluate performance. Researchers can use this article to fill in any information gaps within the WSN routing attack detection domain. PeerJ 2022-10 Article PeerReviewed Alansari, Zainab and Anuar, Nor Badrul and Kamsin, Amirrudin and Belgaum, Mohammad Riyaz (2022) A systematic review of routing attacks detection in wireless sensor networks. PeerJ Computer Science, 8. ISSN 2376-5992, DOI https://doi.org/10.7717/peerj-cs.1135 <https://doi.org/10.7717/peerj-cs.1135>. 10.7717/peerj-cs.1135
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Alansari, Zainab Anuar, Nor Badrul Kamsin, Amirrudin Belgaum, Mohammad Riyaz A systematic review of routing attacks detection in wireless sensor networks
description	Wireless sensor networks (WSNs) consist of hundreds, or thousands of sensor nodes distributed over a wide area and used as the Internet of Things (IoT) devices to benefit many home users and autonomous systems industries. With many users adopting WSN-based IoT technology, ensuring that the sensor's information is protected from attacks is essential. Many attacks interrupt WSNs, such as Quality of Service (QoS) attacks, malicious nodes, and routing attacks. To combat these attacks, especially on the routing attacks, we need to detect the attacker nodes and prevent them from any access to WSN. Although some survey studies on routing attacks have been published, a lack of systematic studies on detecting WSN routing attacks can be seen in the literature. This study enhances the topic with a taxonomy of current and emerging detection techniques for routing attacks in wireless sensor networks to improve QoS. This article uses a PRISMA flow diagram for a systematic review of 87 articles from 2016 to 2022 based on eight routing attacks: wormhole, sybil, Grayhole/ selective forwarding, blackhole, sinkhole, replay, spoofing, and hello flood attacks. The review also includes an evaluation of the metrics and criteria used to evaluate performance. Researchers can use this article to fill in any information gaps within the WSN routing attack detection domain.
format	Article
author	Alansari, Zainab Anuar, Nor Badrul Kamsin, Amirrudin Belgaum, Mohammad Riyaz
author_facet	Alansari, Zainab Anuar, Nor Badrul Kamsin, Amirrudin Belgaum, Mohammad Riyaz
author_sort	Alansari, Zainab
title	A systematic review of routing attacks detection in wireless sensor networks
title_short	A systematic review of routing attacks detection in wireless sensor networks
title_full	A systematic review of routing attacks detection in wireless sensor networks
title_fullStr	A systematic review of routing attacks detection in wireless sensor networks
title_full_unstemmed	A systematic review of routing attacks detection in wireless sensor networks
title_sort	systematic review of routing attacks detection in wireless sensor networks
publisher	PeerJ
publishDate	2022
url	http://eprints.um.edu.my/40781/
_version_	1781704525586890752
score	13.211869

A systematic review of routing attacks detection in wireless sensor networks

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