A Cloud-Based Trust Model for Evaluating Quality of Web Services

Wang, Shouxin; Zhang, Li; Wang, Shuai; Qiu, Xiang

doi:10.1007/s11390-010-9394-1

Cited by 38 publications

(16 citation statements)

References 34 publications

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“…, Wang et al . and Pawar et al . for grid computing, web service and cloud computing environments, respectively, are the exceptions in the context of trust evaluation based on multiple attributes.…”

Section: Related Workmentioning

confidence: 93%

Towards a trust management system for cloud computing marketplaces: using CAIQ as a trust information source

Habib

Ries

Mühlhäuser

et al. 2013

Security Comm Networks

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Cloud computing enables information technology related services in a more dynamic and scalable way than before—more cost‐effective than before due to the economy of scale and of sharing resources. Usually, cloud providers describe their promised behaviour—regarding functional and non‐functional aspects of the service provision—by way of service level agreements (SLAs). For different providers offering similar functionality, SLAs are often insufficiently claimable and inconsistent with the aspects considered important by customers. Therefore, customers face problems identifying a trustworthy cloud provider solely on the basis of its SLA. To support customers in reliably identifying trustworthy cloud providers, we propose a multi‐faceted trust management system architecture for cloud computing marketplaces and related approaches. This system provides the means for identifying trustworthy cloud providers in terms of different attributes, for example, compliance, data governance and information security. In this article, we present the first realization of our proposed trust management system using the Consensus Assessment Initiative Questionnaire, initiated by the Cloud Security Alliance, as one of the sources of trust information. In particular, our proposed approach contributes to the challenge of extracting trust information from Consensus Assessment Initiative Questionnaires completed by cloud providers. Finally, our implemented system and related approaches are experimented using real datasets. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 93%

Towards a trust management system for cloud computing marketplaces: using CAIQ as a trust information source

Habib

Ries

Mühlhäuser

et al. 2013

Security Comm Networks

View full text Add to dashboard Cite

show abstract

“…Wang et al [18] proposed two novel metrics, ability and intention trust, and a quantitative evaluation model based on cloud model to describe the uncertainty of trust. Moreover, Wang et al [19] considered the subjective uncertainty of trust factors and provided a formalized calculation mode to evaluate the trust degree of service customers in providers. Malik and Medjahed [20] presented a trust model that can uniformly describe the concepts of randomness, fuzziness, and their relationship in quantitative terms.…”

Section: Related Workmentioning

confidence: 99%

A Customer-Centric Trust Evaluation Model for Personalized Service Selection

Zhang

Fan

2018

Scientific Programming

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Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumerto-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.

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“…In attribute assessment, attributes of a cloud provider are formally certified and the belief in those attributes is based on formal certification and chains of trust for validation. Wang et al [31] proposed a model for evaluating the quality of web services. Dynamism of trust has been expressed through a time related backward cloud generation algorithm and a formalized calculation approach is provided.…”

Section: Related Workmentioning

confidence: 99%