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Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks
WSANs (Wireless Sensor and Actuator Networks) are derived from traditional wireless sensor networks by introducing mobile actuator elements. Previous studies indicated that mobile actuators can improve network performance in terms of data collection, energy supplementation, etc. However, according t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298712/ https://www.ncbi.nlm.nih.gov/pubmed/28098748 http://dx.doi.org/10.3390/s17010139 |
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author | Wang, Tian Wu, Qun Wen, Sheng Cai, Yiqiao Tian, Hui Chen, Yonghong Wang, Baowei |
author_facet | Wang, Tian Wu, Qun Wen, Sheng Cai, Yiqiao Tian, Hui Chen, Yonghong Wang, Baowei |
author_sort | Wang, Tian |
collection | PubMed |
description | WSANs (Wireless Sensor and Actuator Networks) are derived from traditional wireless sensor networks by introducing mobile actuator elements. Previous studies indicated that mobile actuators can improve network performance in terms of data collection, energy supplementation, etc. However, according to our experimental simulations, the actuator’s mobility also causes the sensor worm to spread faster if an attacker launches worm attacks on an actuator and compromises it successfully. Traditional worm propagation models and defense strategies did not consider the diffusion with a mobile worm carrier. To address this new problem, we first propose a microscopic mathematical model to describe the propagation dynamics of the sensor worm. Then, a two-step local defending strategy (LDS) with a mobile patcher (a mobile element which can distribute patches) is designed to recover the network. In LDS, all recovering operations are only taken in a restricted region to minimize the cost. Extensive experimental results demonstrate that our model estimations are rather accurate and consistent with the actual spreading scenario of the mobile sensor worm. Moreover, on average, the LDS outperforms other algorithms by approximately 50% in terms of the cost. |
format | Online Article Text |
id | pubmed-5298712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52987122017-02-10 Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks Wang, Tian Wu, Qun Wen, Sheng Cai, Yiqiao Tian, Hui Chen, Yonghong Wang, Baowei Sensors (Basel) Article WSANs (Wireless Sensor and Actuator Networks) are derived from traditional wireless sensor networks by introducing mobile actuator elements. Previous studies indicated that mobile actuators can improve network performance in terms of data collection, energy supplementation, etc. However, according to our experimental simulations, the actuator’s mobility also causes the sensor worm to spread faster if an attacker launches worm attacks on an actuator and compromises it successfully. Traditional worm propagation models and defense strategies did not consider the diffusion with a mobile worm carrier. To address this new problem, we first propose a microscopic mathematical model to describe the propagation dynamics of the sensor worm. Then, a two-step local defending strategy (LDS) with a mobile patcher (a mobile element which can distribute patches) is designed to recover the network. In LDS, all recovering operations are only taken in a restricted region to minimize the cost. Extensive experimental results demonstrate that our model estimations are rather accurate and consistent with the actual spreading scenario of the mobile sensor worm. Moreover, on average, the LDS outperforms other algorithms by approximately 50% in terms of the cost. MDPI 2017-01-13 /pmc/articles/PMC5298712/ /pubmed/28098748 http://dx.doi.org/10.3390/s17010139 Text en © 2017 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 Wang, Tian Wu, Qun Wen, Sheng Cai, Yiqiao Tian, Hui Chen, Yonghong Wang, Baowei Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title | Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title_full | Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title_fullStr | Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title_full_unstemmed | Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title_short | Propagation Modeling and Defending of a Mobile Sensor Worm in Wireless Sensor and Actuator Networks |
title_sort | propagation modeling and defending of a mobile sensor worm in wireless sensor and actuator networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298712/ https://www.ncbi.nlm.nih.gov/pubmed/28098748 http://dx.doi.org/10.3390/s17010139 |
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