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Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks
The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-qualit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611373/ https://www.ncbi.nlm.nih.gov/pubmed/37896592 http://dx.doi.org/10.3390/s23208497 |
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author | Zhang, Jinxin Wu, Meng |
author_facet | Zhang, Jinxin Wu, Meng |
author_sort | Zhang, Jinxin |
collection | PubMed |
description | The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-quality keys cannot be underestimated. Random numbers play a fundamental role in the key system, guaranteeing that generated keys possess randomness and unpredictability. To address the issue of random number requirements in multi-sensor network security, this paper introduces a new design approach based on the fusion of chaotic circuits and environmental awareness for the entropy pool. By analyzing potential random source events in the sensor network, a high-quality entropy pool construction is devised. This construction utilizes chaotic circuits and sensor device awareness technology to extract genuinely random events from nature, forming a heterogeneous fusion of a high-quality entropy pool scheme. Comparatively, this proposed scheme outperforms traditional random entropy pool design methods, as it can meet the quantity demands of random entropy sources and significantly enhance the quality of entropy sources, ensuring a robust security foundation for multi-sensor networks. |
format | Online Article Text |
id | pubmed-10611373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106113732023-10-28 Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks Zhang, Jinxin Wu, Meng Sensors (Basel) Article The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-quality keys cannot be underestimated. Random numbers play a fundamental role in the key system, guaranteeing that generated keys possess randomness and unpredictability. To address the issue of random number requirements in multi-sensor network security, this paper introduces a new design approach based on the fusion of chaotic circuits and environmental awareness for the entropy pool. By analyzing potential random source events in the sensor network, a high-quality entropy pool construction is devised. This construction utilizes chaotic circuits and sensor device awareness technology to extract genuinely random events from nature, forming a heterogeneous fusion of a high-quality entropy pool scheme. Comparatively, this proposed scheme outperforms traditional random entropy pool design methods, as it can meet the quantity demands of random entropy sources and significantly enhance the quality of entropy sources, ensuring a robust security foundation for multi-sensor networks. MDPI 2023-10-16 /pmc/articles/PMC10611373/ /pubmed/37896592 http://dx.doi.org/10.3390/s23208497 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Jinxin Wu, Meng Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title | Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title_full | Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title_fullStr | Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title_full_unstemmed | Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title_short | Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks |
title_sort | random number generation based on heterogeneous entropy sources fusion in multi-sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611373/ https://www.ncbi.nlm.nih.gov/pubmed/37896592 http://dx.doi.org/10.3390/s23208497 |
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