Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks
The Internet of Things (IoT) has been widely used because of its high efficiency and real-time collaboration. A wireless sensor network is the core technology to support the operation of the IoT, and the security problem is becoming more and more serious. Aiming at the problem that the existing mali...
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doaj-f84006422b0d43a5938feb49fb6588932021-04-05T16:58:52ZengIEEEIEEE Access2169-35362019-01-017389473895610.1109/ACCESS.2019.29028118668748Blockchain Trust Model for Malicious Node Detection in Wireless Sensor NetworksWei She0Qi Liu1https://orcid.org/0000-0002-3242-3791Zhao Tian2Jian-Sen Chen3Bo Wang4Wei Liu5School of Software Technology, Zhengzhou University, Zhengzhou, ChinaSchool of Software Technology, Zhengzhou University, Zhengzhou, ChinaSchool of Software Technology, Zhengzhou University, Zhengzhou, ChinaCollaborative Innovation Center for Internet Healthcare, Zhengzhou University, Zhengzhou, ChinaDepartment of Computer Science, The State University of New York at Buffalo, Amherst, NY, USASchool of Software Technology, Zhengzhou University, Zhengzhou, ChinaThe Internet of Things (IoT) has been widely used because of its high efficiency and real-time collaboration. A wireless sensor network is the core technology to support the operation of the IoT, and the security problem is becoming more and more serious. Aiming at the problem that the existing malicious node detection methods in wireless sensor networks cannot be guaranteed by fairness and traceability of detection process, we present a blockchain trust model (BTM) for malicious node detection in wireless sensor networks. First, it gives the whole framework of the trust model. Then, it constructs the blockchain data structure which is used to detect malicious nodes. Finally, it realizes the detection of malicious nodes in 3D space by using the blockchain smart contract and the WSNs' quadrilateral measurement localization method, and the voting consensus results are recorded in the blockchain distributed. The simulation results show that the model can effectively detect malicious nodes in WSNs, and it can also ensure the traceability of the detection process.https://ieeexplore.ieee.org/document/8668748/Wireless sensor networksblockchainsmart contractmalicious nodesvote |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei She Qi Liu Zhao Tian Jian-Sen Chen Bo Wang Wei Liu |
spellingShingle |
Wei She Qi Liu Zhao Tian Jian-Sen Chen Bo Wang Wei Liu Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks IEEE Access Wireless sensor networks blockchain smart contract malicious nodes vote |
author_facet |
Wei She Qi Liu Zhao Tian Jian-Sen Chen Bo Wang Wei Liu |
author_sort |
Wei She |
title |
Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks |
title_short |
Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks |
title_full |
Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks |
title_fullStr |
Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks |
title_full_unstemmed |
Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks |
title_sort |
blockchain trust model for malicious node detection in wireless sensor networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
The Internet of Things (IoT) has been widely used because of its high efficiency and real-time collaboration. A wireless sensor network is the core technology to support the operation of the IoT, and the security problem is becoming more and more serious. Aiming at the problem that the existing malicious node detection methods in wireless sensor networks cannot be guaranteed by fairness and traceability of detection process, we present a blockchain trust model (BTM) for malicious node detection in wireless sensor networks. First, it gives the whole framework of the trust model. Then, it constructs the blockchain data structure which is used to detect malicious nodes. Finally, it realizes the detection of malicious nodes in 3D space by using the blockchain smart contract and the WSNs' quadrilateral measurement localization method, and the voting consensus results are recorded in the blockchain distributed. The simulation results show that the model can effectively detect malicious nodes in WSNs, and it can also ensure the traceability of the detection process. |
topic |
Wireless sensor networks blockchain smart contract malicious nodes vote |
url |
https://ieeexplore.ieee.org/document/8668748/ |
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