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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...

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Detalles Bibliográficos
Autores principales: Zhang, Jinxin, Wu, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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