Entropy-based classification of trust factors for cloud computing

Wireless Communications and Mobile Computing

Gao

Jiang

et al. 2022

As an indispensable medium for people’s daily life and communication, mobile applications provide users with a variety of services. In order to enjoy these services, users inevitably need to provide personal privacy information or authorization to application providers in the process of use. In the case of insufficient privacy security evaluation, even if users use the applications verified by the application market, their privacy security will be threatened because of their weak awareness of privacy protection. Therefore, in order to ensure the privacy security of users, this paper establishes a mobile service assessment attribute model including 3 risk categories and 11 risk indicators. Based on this model, this paper proposes a service risk weight assessment method based on FAHP (fuzzy analytical hierarchy process), defines the risk level and its trust degree from two aspects of risk frequency and risk loss, and puts forward a reasonable fusion method for different assessment results of risk level based on D–S (Dempster–Shafer) theory, so as to realize the multidimensional and multilayer assessment of mobile service risk. Finally, the case analysis shows that the method proposed in this paper is reasonable and feasible and has important value for improving the security of mobile services and managing users’ privacy information.

Section: Methods Comparisonmentioning

confidence: 99%

Comprehensive Assessment of Mobile Service Privacy Security Based on FAHP and D–S Theory

Wireless Communications and Mobile Computing

Gao

Jiang

et al. 2022

“…The user needs to agree with the service provider which data must be deleted and the deadline for deletion. 𝛼 11 The actual network bandwidth that the service can reach. The greater the network bandwidth, the higher the service trustworthiness.…”

Section: 𝛼 10mentioning

confidence: 99%

“…However, this single model-based assessment lacks the analysis of changes in cloud service trustworthiness. The uncertainty assessment method based on information entropy [8][9][10][11][12] is an effective method to measure the trustworthiness of cloud service. 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.…”

Section: Related Researchmentioning

confidence: 99%

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

Wang

et al. 2023

Preprint

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.

“…Therefore, how to ensure the objectivity of the assessment, solve the problem of conflicting information in the assessment process, and reduce the scoring difficulty of users are the problems that need to be solved to realize the credibility assessment of cloud platform. In order to ensure the objectivity, relevant studies at home and abroad include the assessment method based on AHP (Analytic Hierarchy Process) [5][6][7][8][9][10][11] and the uncertainty assessment method based on information entropy [12][13][14][15][16]. 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.…”

Section: Introductionmentioning

confidence: 99%

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

Wireless Communications and Mobile Computing

Gao

et al. 2022

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.