The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain

Yang, Ming; Gao, Tilei; Xie, Wanyu; Li, Jia; Zhang, Tao

doi:10.1109/access.2022.3185684

Cited by 12 publications

(3 citation statements)

References 25 publications

(41 reference statements)

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“…However, the assessment result of this method only describes the uncertainty of risk, and does not give an estimate for the change of service trustworthiness. The assessment method based on D-S evidence theory [13][14][15][16][17] can effectively solve the problem of information conflict in the assessment process, but this method needs to collect a lot of assessment evidence. The assessment method based on risk matrix [18,19] can give an intuitive level for the trustworthiness of cloud service, but it is obviously insufficient in objectivity.…”

Section: Related Researchmentioning

confidence: 99%

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

Yang

Wang

et al. 2023

Preprint

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In the era of cloud service popularization, the trustworthiness of service is particularly important. If users cannot prevent the potential trustworthiness problem of the service during long-term use, once the trustworthiness problem occurs, it will cause significant losses. In order to objectively assess the cloud service trustworthiness, and predict its change, this paper establishes a special hierarchical model of cloud service trustworthiness attributes. This paper proposes corresponding management countermeasures around the model, defines the cloud service trustworthiness level, defines the cloud service trusted state based on fuzzy entropy and Markov chain, constructs the membership function of the cloud service trusted state, and realizes the assessment of cloud service trustworthiness and its change according to the prediction method of Markov chain. Through case analysis and method comparison, it shows that the method proposed in this paper is effective and feasible. This method can provide objective and comprehensive assessment data for the cloud service trustworthiness and its change, makes up the deficiency of fuzzy entropy assessment method. This research has important reference value and significance for the research of cloud service trustworthiness assessment.

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Section: Related Researchmentioning

confidence: 99%

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

Yang

Wang

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

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“…These relevant studies establish an effective credibility assessment system, and realize the quantitative assessment of multi-index system through pairwise comparison, which effectively reduces the impact of human subjective factors on the assessment results. In order to solve the conflict information in the assessment process, scholars at home and abroad have carried out many studies based on D-S evidence theory [17][18][19][20][21][22]. These related studies point out that using D-S fusion method can effectively solve the problem of conflicting information in the assessment process.…”

Section: Introductionmentioning

confidence: 99%

Cloud Platform Credibility Assessment System Based on D-S Theory and Blockchain Technology

Yang

Gao

et al. 2022

Wireless Communications and Mobile Computing

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Even well-known cloud platforms will have sudden credibility problems in the long-term application process. Effectively evaluating the credibility of the cloud platform and providing users with scientific evaluation results can help users reasonably choose a trusted cloud platform. However, there are often conflicting opinions or malicious assessments in the process of assessment. In addition, the personal privacy information of the users participating in the assessment is at risk of being leaked, and the data that the users have evaluated is also easy to be modified. In order to solve the above problems, this paper defines the credibility category and confidence interval of cloud platform, puts forward a quantitative assessment method combined with fuzzy theory, and realizes the fusion of different users’ assessment results based on D-S theory. On this basis, this paper further proposes an effective cloud platform credibility assessment system combined with blockchain technology. Finally, through experimental analysis, this paper shows that the credibility assessment system proposed in this paper is feasible and illustrates the characteristics of the system through method comparison. The system solves the problem of conflicting information in the assessment process, can effectively assess the credibility of the cloud platform, and effectively protects user privacy and the security of assessment data with blockchain technology.

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“…The essence of this method is to predict the trustworthiness of attributes according to the internal attribute values. Typical models for the synthesis of trustworthy attribute values include machine learning [11][12][13][14][15], axiomatic approaches [16][17][18][19][20], uncertainty theory [21][22][23][24], system testing [25], the social-to-software framework [26], user feedback [27], heuristic-systematic processing [28], the development framework [29], crowd wisdom [30], etc.…”

Section: Introductionmentioning

confidence: 99%

A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

et al. 2022

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Software trustworthiness evaluation is regarded as a multi-criteria decision-making problem. However, most current software trustworthiness evaluation methods do not consider the relationships between criteria. In this paper, we present a software trustworthiness evaluation strategy via the relationships between criteria. Because the trustworthy attribute degree is evaluated by a criterion, a trustworthy attribute measurement method based on fuzzy theory is first proposed, and the relationships between criteria are described by cooperative and conflicting degrees between criteria. Then, a measure formula for the symmetric substitutivity between criteria is proposed, and the cooperative degree between criteria is taken as the approximation of the symmetric substitutivity between criteria. With the help of the symmetric substitutivity between criteria, the software trustworthiness measurement model obtained by axiomatic approaches is applied to aggregate the degree to which each optional software product meets each objective. Finally, the candidate software products are sorted according to the trustworthiness aggregation results, and the optimal product is obtained from the alternative software products on the basis of the sorting results. The theoretical rationality of the measurement model is validated by proving that it satisfies the desirable properties of software trustworthiness measures, and its effectiveness is demonstrated through a case study.

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The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain

Cited by 12 publications

References 25 publications

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

Cloud Platform Credibility Assessment System Based on D-S Theory and Blockchain Technology

A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

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