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A survey of Sybil attack countermeasures in IoT-based wireless sensor networks
Wireless sensor networks (WSN) have been among the most prevalent wireless innovations over the years exciting new Internet of Things (IoT) applications. IoT based WSN integrated with Internet Protocol IP allows any physical objects with sensors to be connected ubiquitously and send real-time data t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507477/ https://www.ncbi.nlm.nih.gov/pubmed/34712787 http://dx.doi.org/10.7717/peerj-cs.673 |
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author | Arshad, Akashah Mohd Hanapi, Zurina Subramaniam, Shamala Latip, Rohaya |
author_facet | Arshad, Akashah Mohd Hanapi, Zurina Subramaniam, Shamala Latip, Rohaya |
author_sort | Arshad, Akashah |
collection | PubMed |
description | Wireless sensor networks (WSN) have been among the most prevalent wireless innovations over the years exciting new Internet of Things (IoT) applications. IoT based WSN integrated with Internet Protocol IP allows any physical objects with sensors to be connected ubiquitously and send real-time data to the server connected to the Internet gate. Security in WSN remains an ongoing research trend that falls under the IoT paradigm. A WSN node deployed in a hostile environment is likely to open security attacks such as Sybil attack due to its distributed architecture and network contention implemented in the routing protocol. In a Sybil attack, an adversary illegally advertises several false identities or a single identity that may occur at several locations called Sybil nodes. Therefore, in this paper, we give a survey of the most up-to-date assured methods to defend from the Sybil attack. The Sybil attack countermeasures includes encryption, trust, received signal indicator (RSSI), encryption and artificial intelligence. Specifically, we survey different methods, along with their advantages and disadvantages, to mitigate the Sybil attack. We discussed the lesson learned and the future avenues of study and open issues in WSN security analysis. |
format | Online Article Text |
id | pubmed-8507477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85074772021-10-27 A survey of Sybil attack countermeasures in IoT-based wireless sensor networks Arshad, Akashah Mohd Hanapi, Zurina Subramaniam, Shamala Latip, Rohaya PeerJ Comput Sci Computer Networks and Communications Wireless sensor networks (WSN) have been among the most prevalent wireless innovations over the years exciting new Internet of Things (IoT) applications. IoT based WSN integrated with Internet Protocol IP allows any physical objects with sensors to be connected ubiquitously and send real-time data to the server connected to the Internet gate. Security in WSN remains an ongoing research trend that falls under the IoT paradigm. A WSN node deployed in a hostile environment is likely to open security attacks such as Sybil attack due to its distributed architecture and network contention implemented in the routing protocol. In a Sybil attack, an adversary illegally advertises several false identities or a single identity that may occur at several locations called Sybil nodes. Therefore, in this paper, we give a survey of the most up-to-date assured methods to defend from the Sybil attack. The Sybil attack countermeasures includes encryption, trust, received signal indicator (RSSI), encryption and artificial intelligence. Specifically, we survey different methods, along with their advantages and disadvantages, to mitigate the Sybil attack. We discussed the lesson learned and the future avenues of study and open issues in WSN security analysis. PeerJ Inc. 2021-09-22 /pmc/articles/PMC8507477/ /pubmed/34712787 http://dx.doi.org/10.7717/peerj-cs.673 Text en ©2021 Arshad et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Computer Networks and Communications Arshad, Akashah Mohd Hanapi, Zurina Subramaniam, Shamala Latip, Rohaya A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title | A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title_full | A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title_fullStr | A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title_full_unstemmed | A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title_short | A survey of Sybil attack countermeasures in IoT-based wireless sensor networks |
title_sort | survey of sybil attack countermeasures in iot-based wireless sensor networks |
topic | Computer Networks and Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507477/ https://www.ncbi.nlm.nih.gov/pubmed/34712787 http://dx.doi.org/10.7717/peerj-cs.673 |
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