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:en
en
en
Published: 2019
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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
http://eprints.uthm.edu.my/563/
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author Ali, Mohammed Qasim
author_facet Ali, Mohammed Qasim
author_sort Ali, Mohammed Qasim
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
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.
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institution Universiti Tun Hussein Onn Malaysia
language en
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publishDate 2019
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spelling my.uthm.eprints-5632021-08-05T03:27:05Z http://eprints.uthm.edu.my/563/ A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN) 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 NonPeerReviewed text en http://eprints.uthm.edu.my/563/1/24p%20MOHAMMED%20QASIM%20ALI.pdf text en http://eprints.uthm.edu.my/563/2/MOHAMMED%20QASIM%20ALI%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/563/3/MOHAMMED%20QASIM%20ALI%20WATERMARK.pdf Ali, Mohammed Qasim (2019) A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN). Masters thesis, Universiti Tun Hussein Onn Malaysia.
spellingShingle TK7800-8360 Electronics
Ali, Mohammed Qasim
A new sinkhole attack detection algorithm for RPL in wireless sensor networks (WSN)
title 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_short 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)
topic TK7800-8360 Electronics
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
http://eprints.uthm.edu.my/563/
url_provider http://eprints.uthm.edu.my/