Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring

The paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN). As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life obj...

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Autores principales:	Meleshko Alexey, Desnitsky Vasily, Kotenko Igor
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/07d878cc9c29411d9434e3d553a885cb
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id	oai:doaj.org-article:07d878cc9c29411d9434e3d553a885cb
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spelling	oai:doaj.org-article:07d878cc9c29411d9434e3d553a885cb2021-11-08T15:20:43ZApproach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring2261-236X10.1051/matecconf/202134603002https://doaj.org/article/07d878cc9c29411d9434e3d553a885cb2021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/15/matecconf_icmtmte2021_03002.pdfhttps://doaj.org/toc/2261-236XThe paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN). As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life objects. The distinctive features of such a network are the decentralized nature of its structure and services, the autonomy and mobility of the network nodes, as well as the possibility of non-deterministic physical movement of nodes in space. The spontaneous nature of the dynamic formation of the network topology as well as the assignment of roles and private monitoring functions between the available network nodes determines such networks are subject to attacks that exploit the properties of network decentralization and its self-organization. The proposed approach to detecting anomalies is based on the collection and analysis of data from sensors and is designed to increase the security of self-organizing decentralized WSN by identifying anomalies that are critical in the context of the monitoring purposes.Meleshko AlexeyDesnitsky VasilyKotenko IgorEDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 346, p 03002 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Meleshko Alexey Desnitsky Vasily Kotenko Igor Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
description	The paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN). As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life objects. The distinctive features of such a network are the decentralized nature of its structure and services, the autonomy and mobility of the network nodes, as well as the possibility of non-deterministic physical movement of nodes in space. The spontaneous nature of the dynamic formation of the network topology as well as the assignment of roles and private monitoring functions between the available network nodes determines such networks are subject to attacks that exploit the properties of network decentralization and its self-organization. The proposed approach to detecting anomalies is based on the collection and analysis of data from sensors and is designed to increase the security of self-organizing decentralized WSN by identifying anomalies that are critical in the context of the monitoring purposes.
format	article
author	Meleshko Alexey Desnitsky Vasily Kotenko Igor
author_facet	Meleshko Alexey Desnitsky Vasily Kotenko Igor
author_sort	Meleshko Alexey
title	Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
title_short	Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
title_full	Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
title_fullStr	Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
title_full_unstemmed	Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
title_sort	approach to anomaly detection in self-organized decentralized wireless sensor network for air pollution monitoring
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/07d878cc9c29411d9434e3d553a885cb
work_keys_str_mv	AT meleshkoalexey approachtoanomalydetectioninselforganizeddecentralizedwirelesssensornetworkforairpollutionmonitoring AT desnitskyvasily approachtoanomalydetectioninselforganizeddecentralizedwirelesssensornetworkforairpollutionmonitoring AT kotenkoigor approachtoanomalydetectioninselforganizeddecentralizedwirelesssensornetworkforairpollutionmonitoring
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Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring

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