BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest

The distributed deployment of wireless sensor networks (WSNs) makes the network more convenient, but it also causes more hidden security hazards that are difficult to be solved. For example, the unprotected deployment of sensors makes distributed anomaly detection systems for WSNs more vulnerable to...

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Autores principales:	Xiong Yang, Yuling Chen, Xiaobin Qian, Tao Li, Xiao Lv
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/aa6805bb87424820a52d812da35267f4
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id	oai:doaj.org-article:aa6805bb87424820a52d812da35267f4
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spelling	oai:doaj.org-article:aa6805bb87424820a52d812da35267f42021-11-22T01:11:23ZBCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest1939-012210.1155/2021/9430132https://doaj.org/article/aa6805bb87424820a52d812da35267f42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9430132https://doaj.org/toc/1939-0122The distributed deployment of wireless sensor networks (WSNs) makes the network more convenient, but it also causes more hidden security hazards that are difficult to be solved. For example, the unprotected deployment of sensors makes distributed anomaly detection systems for WSNs more vulnerable to internal attacks, and the limited computing resources of WSNs hinder the construction of a trusted environment. In recent years, the widely observed blockchain technology has shown the potential to strengthen the security of the Internet of Things. Therefore, we propose a blockchain-based ensemble anomaly detection (BCEAD), which stores the model of a typical anomaly detection algorithm (isolated forest) in the blockchain for distributed anomaly detection in WSNs. By constructing a suitable block structure and consensus mechanism, the global model for detection can iteratively update to enhance detection performance. Moreover, the blockchain guarantees the trust environment of the network, making the detection algorithm resistant to internal attacks. Finally, compared with similar schemes, in terms of performance, cost, etc., the results prove that BCEAD performs better.Xiong YangYuling ChenXiaobin QianTao LiXiao LvHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Xiong Yang Yuling Chen Xiaobin Qian Tao Li Xiao Lv BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
description	The distributed deployment of wireless sensor networks (WSNs) makes the network more convenient, but it also causes more hidden security hazards that are difficult to be solved. For example, the unprotected deployment of sensors makes distributed anomaly detection systems for WSNs more vulnerable to internal attacks, and the limited computing resources of WSNs hinder the construction of a trusted environment. In recent years, the widely observed blockchain technology has shown the potential to strengthen the security of the Internet of Things. Therefore, we propose a blockchain-based ensemble anomaly detection (BCEAD), which stores the model of a typical anomaly detection algorithm (isolated forest) in the blockchain for distributed anomaly detection in WSNs. By constructing a suitable block structure and consensus mechanism, the global model for detection can iteratively update to enhance detection performance. Moreover, the blockchain guarantees the trust environment of the network, making the detection algorithm resistant to internal attacks. Finally, compared with similar schemes, in terms of performance, cost, etc., the results prove that BCEAD performs better.
format	article
author	Xiong Yang Yuling Chen Xiaobin Qian Tao Li Xiao Lv
author_facet	Xiong Yang Yuling Chen Xiaobin Qian Tao Li Xiao Lv
author_sort	Xiong Yang
title	BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
title_short	BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
title_full	BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
title_fullStr	BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
title_full_unstemmed	BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest
title_sort	bcead: a blockchain-empowered ensemble anomaly detection for wireless sensor network via isolation forest
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/aa6805bb87424820a52d812da35267f4
work_keys_str_mv	AT xiongyang bceadablockchainempoweredensembleanomalydetectionforwirelesssensornetworkviaisolationforest AT yulingchen bceadablockchainempoweredensembleanomalydetectionforwirelesssensornetworkviaisolationforest AT xiaobinqian bceadablockchainempoweredensembleanomalydetectionforwirelesssensornetworkviaisolationforest AT taoli bceadablockchainempoweredensembleanomalydetectionforwirelesssensornetworkviaisolationforest AT xiaolv bceadablockchainempoweredensembleanomalydetectionforwirelesssensornetworkviaisolationforest
_version_	1718418299554889728

BCEAD: A Blockchain-Empowered Ensemble Anomaly Detection for Wireless Sensor Network via Isolation Forest

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