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Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP
The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660197/ https://www.ncbi.nlm.nih.gov/pubmed/33105891 http://dx.doi.org/10.3390/s20215997 |
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author | A. Almusaylim, Zahrah Jhanjhi, NZ Alhumam, Abdulaziz |
author_facet | A. Almusaylim, Zahrah Jhanjhi, NZ Alhumam, Abdulaziz |
author_sort | A. Almusaylim, Zahrah |
collection | PubMed |
description | The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/s, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks. |
format | Online Article Text |
id | pubmed-7660197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76601972020-11-13 Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP A. Almusaylim, Zahrah Jhanjhi, NZ Alhumam, Abdulaziz Sensors (Basel) Article The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/s, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks. MDPI 2020-10-22 /pmc/articles/PMC7660197/ /pubmed/33105891 http://dx.doi.org/10.3390/s20215997 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 A. Almusaylim, Zahrah Jhanjhi, NZ Alhumam, Abdulaziz Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title | Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title_full | Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title_fullStr | Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title_full_unstemmed | Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title_short | Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP |
title_sort | detection and mitigation of rpl rank and version number attacks in the internet of things: srpl-rp |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660197/ https://www.ncbi.nlm.nih.gov/pubmed/33105891 http://dx.doi.org/10.3390/s20215997 |
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