A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)

With the continuous improvement of science and technology, wireless sensor network technology has gradually been widely used, and provides great convenience for people's living, but with the continuous improvement of the degree of application, wireless sensor network security issues also enter...

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Main Author:	Ali, Mohammed Qasim
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/563/1/24p%20MOHAMMED%20QASIM%20ALI.pdf http://eprints.uthm.edu.my/563/2/MOHAMMED%20QASIM%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/563/3/MOHAMMED%20QASIM%20ALI%20WATERMARK.pdf
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id	my-uthm-ep.563
record_format	uketd_dc
spelling	my-uthm-ep.5632021-08-05T03:27:05Z A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN) 2019-06 Ali, Mohammed Qasim TK7800-8360 Electronics With the continuous improvement of science and technology, wireless sensor network technology has gradually been widely used, and provides great convenience for people's living, but with the continuous improvement of the degree of application, wireless sensor network security issues also enter people's field of vision. Sensor nodes can be used for continuous sensing, event recognition and event identification. 6LoWPAN plays an important role in this convergence of heterogeneous technologies, which allows sensors to transmit information using IPv6 stack. Sensors perform critical tasks and become targets of attacks. Sinkhole attack is one of the most common attacks to sensor networks, threatening the network availability by dropping data or disturbing routing paths. RPL is a standard routing protocol commonly used in sensor networks. Therefore, this research presents the works in designing and developing Secured-RPL using the eave-listening concept (overhearing) to treating sinkhole attack. The suggested mechanism method could determine transmitted packages then overhear to the received packet, meaning that the node can overhearing to the neighbor node. Furthermore, three different simulation scenarios were applied, which are the scenario without attacker nodes, scenario with attacker nodes and the scenario with attacker and security by using Cooja simulator to Measurement and analysis performance of RPL in terms of packet delivery ratio (PDR) and power consumption over different packet transmission rate. The experimental results show that the proposed recognition method can identify sinkholes attack effectively and with less storage cost under various wireless sensor networks. Where the optimization ratio of the PDR in scenario with attacker node with the security was close to the scenario with a normal node. 2019-06 Thesis http://eprints.uthm.edu.my/563/ http://eprints.uthm.edu.my/563/1/24p%20MOHAMMED%20QASIM%20ALI.pdf text en public http://eprints.uthm.edu.my/563/2/MOHAMMED%20QASIM%20ALI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/563/3/MOHAMMED%20QASIM%20ALI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Ali, Mohammed Qasim A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
description	With the continuous improvement of science and technology, wireless sensor network technology has gradually been widely used, and provides great convenience for people's living, but with the continuous improvement of the degree of application, wireless sensor network security issues also enter people's field of vision. Sensor nodes can be used for continuous sensing, event recognition and event identification. 6LoWPAN plays an important role in this convergence of heterogeneous technologies, which allows sensors to transmit information using IPv6 stack. Sensors perform critical tasks and become targets of attacks. Sinkhole attack is one of the most common attacks to sensor networks, threatening the network availability by dropping data or disturbing routing paths. RPL is a standard routing protocol commonly used in sensor networks. Therefore, this research presents the works in designing and developing Secured-RPL using the eave-listening concept (overhearing) to treating sinkhole attack. The suggested mechanism method could determine transmitted packages then overhear to the received packet, meaning that the node can overhearing to the neighbor node. Furthermore, three different simulation scenarios were applied, which are the scenario without attacker nodes, scenario with attacker nodes and the scenario with attacker and security by using Cooja simulator to Measurement and analysis performance of RPL in terms of packet delivery ratio (PDR) and power consumption over different packet transmission rate. The experimental results show that the proposed recognition method can identify sinkholes attack effectively and with less storage cost under various wireless sensor networks. Where the optimization ratio of the PDR in scenario with attacker node with the security was close to the scenario with a normal node.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ali, Mohammed Qasim
author_facet	Ali, Mohammed Qasim
author_sort	Ali, Mohammed Qasim
title	A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title_short	A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title_full	A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title_fullStr	A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title_full_unstemmed	A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title_sort	new sinkhole attack detection algorithm for rpl in wireless sensor networks (wsn)
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2019
url	http://eprints.uthm.edu.my/563/1/24p%20MOHAMMED%20QASIM%20ALI.pdf http://eprints.uthm.edu.my/563/2/MOHAMMED%20QASIM%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/563/3/MOHAMMED%20QASIM%20ALI%20WATERMARK.pdf
_version_	1747830639758934016

A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)

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