A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks
A typical wireless sensor network (WSN) is often deployed in harsh or hostile environment to work in an unattended mode. It is prone to various attacks during routing process as the open wireless medium. Traditional encryption and authentication-based secure mechanisms cannot avoid the attacks from...
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doaj-502ae8b3ca334b2fb344b3158d4cd7e82021-03-29T21:36:38ZengIEEEIEEE Access2169-35362018-01-016714047141210.1109/ACCESS.2018.28793608520800A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor NetworksLiu Yang0https://orcid.org/0000-0002-9450-5469Yinzhi Lu1Sheng Liu2Tan Guo3https://orcid.org/0000-0001-9523-8094Zhifang Liang4School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Electronic Information Engineering, Yangtze Normal University, Chongqing, ChinaSchool of Data Science, Tongren University, Tongren, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaA typical wireless sensor network (WSN) is often deployed in harsh or hostile environment to work in an unattended mode. It is prone to various attacks during routing process as the open wireless medium. Traditional encryption and authentication-based secure mechanisms cannot avoid the attacks from internal compromised nodes, and they also need much resource for complex computing. To conquer these problems, trust-based secure mechanism is usually used in WSNs. However, how to get the behavior evidences for trust assessment is rarely addressed to date. In this paper, we present a game theory-based dynamic behavior monitoring scheme for evidences collection in WSNs. A tradeoff between network security and energy conservation can be achieved. Based on this behavior monitoring scheme, a trust assessment mechanism is proposed, which is further integrated into cluster-based routing protocol. Simulation results show that our trust evaluation scheme can gain a higher network lifetime than full-time behavior monitoring-based trust evaluation scheme, while the performance of network security is not degraded.https://ieeexplore.ieee.org/document/8520800/Behavior monitoringgame theorynetwork lifetimesecuritytrustwireless sensor networks (WSNs) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liu Yang Yinzhi Lu Sheng Liu Tan Guo Zhifang Liang |
spellingShingle |
Liu Yang Yinzhi Lu Sheng Liu Tan Guo Zhifang Liang A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks IEEE Access Behavior monitoring game theory network lifetime security trust wireless sensor networks (WSNs) |
author_facet |
Liu Yang Yinzhi Lu Sheng Liu Tan Guo Zhifang Liang |
author_sort |
Liu Yang |
title |
A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks |
title_short |
A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks |
title_full |
A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks |
title_fullStr |
A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks |
title_full_unstemmed |
A Dynamic Behavior Monitoring Game-Based Trust Evaluation Scheme for Clustering in Wireless Sensor Networks |
title_sort |
dynamic behavior monitoring game-based trust evaluation scheme for clustering in wireless sensor networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
A typical wireless sensor network (WSN) is often deployed in harsh or hostile environment to work in an unattended mode. It is prone to various attacks during routing process as the open wireless medium. Traditional encryption and authentication-based secure mechanisms cannot avoid the attacks from internal compromised nodes, and they also need much resource for complex computing. To conquer these problems, trust-based secure mechanism is usually used in WSNs. However, how to get the behavior evidences for trust assessment is rarely addressed to date. In this paper, we present a game theory-based dynamic behavior monitoring scheme for evidences collection in WSNs. A tradeoff between network security and energy conservation can be achieved. Based on this behavior monitoring scheme, a trust assessment mechanism is proposed, which is further integrated into cluster-based routing protocol. Simulation results show that our trust evaluation scheme can gain a higher network lifetime than full-time behavior monitoring-based trust evaluation scheme, while the performance of network security is not degraded. |
topic |
Behavior monitoring game theory network lifetime security trust wireless sensor networks (WSNs) |
url |
https://ieeexplore.ieee.org/document/8520800/ |
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