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An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay
Physical layer security (PLS) is considered one of the most promising solutions to solve the security problems of massive Internet of Things (IoTs) devices because of its lightweight and high efficiency. Significantly, the recent physical layer key generation (PLKG) scheme based on transmission dela...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280582/ https://www.ncbi.nlm.nih.gov/pubmed/37346720 http://dx.doi.org/10.7717/peerj-cs.1349 |
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author | Wang, Xiaowen Huang, Jie Qi, Chunyang Peng, Yang Zhang, Shuaishuai |
author_facet | Wang, Xiaowen Huang, Jie Qi, Chunyang Peng, Yang Zhang, Shuaishuai |
author_sort | Wang, Xiaowen |
collection | PubMed |
description | Physical layer security (PLS) is considered one of the most promising solutions to solve the security problems of massive Internet of Things (IoTs) devices because of its lightweight and high efficiency. Significantly, the recent physical layer key generation (PLKG) scheme based on transmission delay proposed by Huang et al. (2021) does not have any restrictions on communication methods and can extend the traditional physical layer security based on wireless channels to the whole Internet scene. However, the secret-sharing strategy adopted in this scheme has hidden dangers of collusion attack, which may lead to security problems such as information tampering and privacy disclosure. By establishing a probability model, this article quantitatively analyzes the relationship between the number of malicious collusion nodes and the probability of key exposure, which proves the existence of this security problem. In order to solve the problem of collusion attack in Huang et al.’s scheme, this article proposes an anti-collusion attack defense method, which minimizes the influence of collusion attack on key security by optimizing parameters including the number of the middle forwarding nodes, the random forwarding times, the time delay measurement times and the out-of-control rate of forwarding nodes. Finally, based on the game model, we prove that the defense method proposed in this article can reduce the risk of key leakage to zero under the scenario of the “Careless Defender” and “Cautious Defender” respectively. |
format | Online Article Text |
id | pubmed-10280582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102805822023-06-21 An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay Wang, Xiaowen Huang, Jie Qi, Chunyang Peng, Yang Zhang, Shuaishuai PeerJ Comput Sci Cryptography Physical layer security (PLS) is considered one of the most promising solutions to solve the security problems of massive Internet of Things (IoTs) devices because of its lightweight and high efficiency. Significantly, the recent physical layer key generation (PLKG) scheme based on transmission delay proposed by Huang et al. (2021) does not have any restrictions on communication methods and can extend the traditional physical layer security based on wireless channels to the whole Internet scene. However, the secret-sharing strategy adopted in this scheme has hidden dangers of collusion attack, which may lead to security problems such as information tampering and privacy disclosure. By establishing a probability model, this article quantitatively analyzes the relationship between the number of malicious collusion nodes and the probability of key exposure, which proves the existence of this security problem. In order to solve the problem of collusion attack in Huang et al.’s scheme, this article proposes an anti-collusion attack defense method, which minimizes the influence of collusion attack on key security by optimizing parameters including the number of the middle forwarding nodes, the random forwarding times, the time delay measurement times and the out-of-control rate of forwarding nodes. Finally, based on the game model, we prove that the defense method proposed in this article can reduce the risk of key leakage to zero under the scenario of the “Careless Defender” and “Cautious Defender” respectively. PeerJ Inc. 2023-04-24 /pmc/articles/PMC10280582/ /pubmed/37346720 http://dx.doi.org/10.7717/peerj-cs.1349 Text en © 2023 Wang 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 | Cryptography Wang, Xiaowen Huang, Jie Qi, Chunyang Peng, Yang Zhang, Shuaishuai An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title | An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title_full | An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title_fullStr | An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title_full_unstemmed | An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title_short | An anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
title_sort | anti-collusion attack defense method for physical layer key generation scheme based on transmission delay |
topic | Cryptography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280582/ https://www.ncbi.nlm.nih.gov/pubmed/37346720 http://dx.doi.org/10.7717/peerj-cs.1349 |
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