Internet of things security evaluation mechanism based on meta attribute fluctuation.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 30 08 2022
accepted: 17 02 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

In the field of Internet of Things (IoT), terminal security has always been an extremely important independent research topic. In the terminal security research, in addition to the security enhancement of terminal entities, the security status evaluation of terminal security has also become an independent subset of the security research in the IoT field. However, it should also be noted that the security attributes of IoT terminals can include many aspects, so judging the security of IoT terminals based on the overall security form is not enough for the security of terminal entities. This paper introduces the concept of volatility from the overall situation assessment to the meta attributes that constitute the overall security situation, and preliminarily realizes the construction of a concise model based on historical data to judge the meta attributes that may affect the overall security in the future. At the same time, a concise verification system is built based on the application scenario of the power IoT terminals currently under research to preliminarily realize trend prediction, further expand the trust evaluation of IoT terminals, and clarify the direction of further research.

Identifiants

pubmed: 37450503
doi: 10.1371/journal.pone.0282630
pii: PONE-D-22-23935
pmc: PMC10348552
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0282630

Informations de copyright

Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Zhe Liu (Z)

School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China.

Yinghao Yuan (Y)

School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China.

Bo Zhao (B)

School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China.

Yixuan Wang (Y)

School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China.

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Classifications MeSH