The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain
The massive cloud service market is full of various services with uneven quality. Even the services that have passed the platform detection will have unknown trustworthiness problems in the actual use process. The risk environment of the cloud service determines that its trustworthiness is random. T...
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9804483/ |
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author | Ming Yang Tilei Gao Wanyu Xie Li Jia Tao Zhang |
author_facet | Ming Yang Tilei Gao Wanyu Xie Li Jia Tao Zhang |
author_sort | Ming Yang |
collection | DOAJ |
description | The massive cloud service market is full of various services with uneven quality. Even the services that have passed the platform detection will have unknown trustworthiness problems in the actual use process. The risk environment of the cloud service determines that its trustworthiness is random. The static trustworthiness assessment results can only reflect the cloud service trustworthiness at a certain time, not enough to reflect the real trustworthiness of the cloud service. To objectively reflect the trustworthiness of the cloud service, it is necessary to further assess the cloud service trustworthiness state and its changes on the basis of trustworthiness level measurement. To solve this problem, this paper combs the trustworthiness indicators of the cloud service, puts forward an effective assessment method of cloud service trustworthiness level based on D-S theory, and puts forward the representation method of cloud service trustworthiness state and its transition state combined with Markov chain, so as to realize the effective assessment of cloud service trustworthiness state and its changes. Finally, through case analysis, it shows that the method proposed in this paper is feasible, can effectively assess the cloud service trustworthiness state and its changes, and provide users with detailed assessment results, so as to help users make reasonable service selection and trustworthiness management. This research has important significance for ensuring the cloud service trustworthiness and improving the cloud service market security. |
first_indexed | 2024-04-11T22:06:46Z |
format | Article |
id | doaj.art-0cb0e37039844c7192c9bd64fa615c1b |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-11T22:06:46Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-0cb0e37039844c7192c9bd64fa615c1b2022-12-22T04:00:42ZengIEEEIEEE Access2169-35362022-01-0110686186863210.1109/ACCESS.2022.31856849804483The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov ChainMing Yang0https://orcid.org/0000-0001-5357-7389Tilei Gao1https://orcid.org/0000-0002-3707-5060Wanyu Xie2Li Jia3Tao Zhang4School of Information, Yunnan University of Finance and Economics, Kunming, ChinaSchool of Information, Yunnan University of Finance and Economics, Kunming, ChinaPersonnel Department, Kunming Metallurgy College, Kunming, ChinaSchool of Information, Yunnan University of Finance and Economics, Kunming, ChinaSchool of Information, Yunnan University of Finance and Economics, Kunming, ChinaThe massive cloud service market is full of various services with uneven quality. Even the services that have passed the platform detection will have unknown trustworthiness problems in the actual use process. The risk environment of the cloud service determines that its trustworthiness is random. The static trustworthiness assessment results can only reflect the cloud service trustworthiness at a certain time, not enough to reflect the real trustworthiness of the cloud service. To objectively reflect the trustworthiness of the cloud service, it is necessary to further assess the cloud service trustworthiness state and its changes on the basis of trustworthiness level measurement. To solve this problem, this paper combs the trustworthiness indicators of the cloud service, puts forward an effective assessment method of cloud service trustworthiness level based on D-S theory, and puts forward the representation method of cloud service trustworthiness state and its transition state combined with Markov chain, so as to realize the effective assessment of cloud service trustworthiness state and its changes. Finally, through case analysis, it shows that the method proposed in this paper is feasible, can effectively assess the cloud service trustworthiness state and its changes, and provide users with detailed assessment results, so as to help users make reasonable service selection and trustworthiness management. This research has important significance for ensuring the cloud service trustworthiness and improving the cloud service market security.https://ieeexplore.ieee.org/document/9804483/Cloud service trustworthinessD-S theoryMarkov chainassessment of cloud servicetrustworthiness state |
spellingShingle | Ming Yang Tilei Gao Wanyu Xie Li Jia Tao Zhang The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain IEEE Access Cloud service trustworthiness D-S theory Markov chain assessment of cloud service trustworthiness state |
title | The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain |
title_full | The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain |
title_fullStr | The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain |
title_full_unstemmed | The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain |
title_short | The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain |
title_sort | assessment of cloud service trustworthiness state based on d s theory and markov chain |
topic | Cloud service trustworthiness D-S theory Markov chain assessment of cloud service trustworthiness state |
url | https://ieeexplore.ieee.org/document/9804483/ |
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