Recognition of the Cybersecurity State of IoT devices

The identification of the cybersecurity (CS) state of Internet of things (IoT) devices determines the necessity to search for and improve approaches to detecting various threat types. The unification used in the mass development of IoT devices facilitates software and hardware modification to block...

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Autores principales:	M.E. Sukhoparov, I.S. Lebedev
Formato:	article
Lenguaje:	EN
Publicado:	UIKTEN 2021
Materias:	cybersecurity monitoring nodes and devices of the internet of things network infrastructure Education L Technology T
Acceso en línea:	https://doaj.org/article/33b2c9af74e54c46ac7472ecde2496f4
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id	oai:doaj.org-article:33b2c9af74e54c46ac7472ecde2496f4
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spelling	oai:doaj.org-article:33b2c9af74e54c46ac7472ecde2496f42021-12-01T22:32:21ZRecognition of the Cybersecurity State of IoT devices10.18421/TEM104-552217-83092217-8333https://doaj.org/article/33b2c9af74e54c46ac7472ecde2496f42021-11-01T00:00:00Zhttps://www.temjournal.com/content/104/TEMJournalNovember2021_1912_1918.pdfhttps://doaj.org/toc/2217-8309https://doaj.org/toc/2217-8333The identification of the cybersecurity (CS) state of Internet of things (IoT) devices determines the necessity to search for and improve approaches to detecting various threat types. The unification used in the mass development of IoT devices facilitates software and hardware modification to block certain built-in protective functions from the side of a potential intruder. A need arises to develop universal methods for identifying the cybersecurity state of devices using comprehensive approaches to analyzing data from internal and external information channels. The article presents an approach to identifying the cybersecurity of IoT devices based on processing time series recorded from sensors during various processes, and internal and external (thirdparty) sources. The approach is based on classification methods. The presented solution uses template sequences containing synchronized time series showing numerical values obtained from various probes and sensors during process execution. The proposed approach makes it possible to identify IoT device cybersecurity states without increasing the volume of information stored and processed in internal resources.M.E. SukhoparovI.S. LebedevUIKTENarticlecybersecurity monitoringnodesand devices of the internet of thingsnetwork infrastructureEducationLTechnologyTENTEM Journal, Vol 10, Iss 4, Pp 1912-1918 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cybersecurity monitoring nodes and devices of the internet of things network infrastructure Education L Technology T
spellingShingle	cybersecurity monitoring nodes and devices of the internet of things network infrastructure Education L Technology T M.E. Sukhoparov I.S. Lebedev Recognition of the Cybersecurity State of IoT devices
description	The identification of the cybersecurity (CS) state of Internet of things (IoT) devices determines the necessity to search for and improve approaches to detecting various threat types. The unification used in the mass development of IoT devices facilitates software and hardware modification to block certain built-in protective functions from the side of a potential intruder. A need arises to develop universal methods for identifying the cybersecurity state of devices using comprehensive approaches to analyzing data from internal and external information channels. The article presents an approach to identifying the cybersecurity of IoT devices based on processing time series recorded from sensors during various processes, and internal and external (thirdparty) sources. The approach is based on classification methods. The presented solution uses template sequences containing synchronized time series showing numerical values obtained from various probes and sensors during process execution. The proposed approach makes it possible to identify IoT device cybersecurity states without increasing the volume of information stored and processed in internal resources.
format	article
author	M.E. Sukhoparov I.S. Lebedev
author_facet	M.E. Sukhoparov I.S. Lebedev
author_sort	M.E. Sukhoparov
title	Recognition of the Cybersecurity State of IoT devices
title_short	Recognition of the Cybersecurity State of IoT devices
title_full	Recognition of the Cybersecurity State of IoT devices
title_fullStr	Recognition of the Cybersecurity State of IoT devices
title_full_unstemmed	Recognition of the Cybersecurity State of IoT devices
title_sort	recognition of the cybersecurity state of iot devices
publisher	UIKTEN
publishDate	2021
url	https://doaj.org/article/33b2c9af74e54c46ac7472ecde2496f4
work_keys_str_mv	AT mesukhoparov recognitionofthecybersecuritystateofiotdevices AT islebedev recognitionofthecybersecuritystateofiotdevices
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Recognition of the Cybersecurity State of IoT devices

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