A Time-Related Trust Model Based on Subjective Logic Theory

Deng, Yueming; Wang, Guojun

doi:10.1109/icycs.2008.431

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…In e-commerce system, it provided couples of services such as payment service, fulfillment service, advertisement service and feedback service, the trust factors could be profile [7], time [8] [9], risk[10] [11], feedback rating, price scope, third party recommendation, transaction history or credit history [12]. The trust model in e-commerce system is normally used for buyer to evaluate the seller's reputation.…”

Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

“…There are also trust factors such as transfer speed, historical record [14], time [8] [9], risk[10] [11], friendship, recommendation feedback, trust level, Capability, Availability [15] [16]. The trust model of data sharing service is used for evaluate the resource trustworthiness over the network.…”

Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

“…The trust factors in this environment are stable level, historical record, cost [8] [9], risk[10] [11], trust level, third party recommendation [22], security settings, device profile [22] [23] and so on. The trust model in Grid (cloud) Computing service is used to evaluate the service quality for its peers in the service.…”

Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

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Evaluation of e-commerce system trustworthiness using multi-criteria analysis

Wang

2014

2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM)

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Trustworthiness is a very critical element and should be treated as an important reference when customers try to select proper e-commerce systems. Trustworthiness evaluation requires the management of a wide variety of information types, parameters and uncertainties. Multi-criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform trustworthiness evaluations as a result of its flexibility and the possibility. For making trustworthiness measurement simple and standardized, this paper proposes a novel trustworthiness measurement model based on multi-criteria decision analysis. Recently, a lot of great efforts have been carried out to develop decision making for evaluation of trustworthiness and reputation. However, these research works still stay on the stage of theoretical research. This paper proposes and implements a trustworthiness measurement model using multi-criteria decision making approach for e-commerce systems. Firstly, this paper recognizes trust factors of e-commerce systems and distributes the factors in our designed multi-dimensional trust space and trust trustworthiness measurement model. All relevant factors are filtered, categorized and quantified. Then, our designed multi-criteria analysis mechanism can deal with the trust factors and analyze their trust features from different perspectives. Finally, the evaluated trustworthiness result is provided. Meanwhile, we also have a knowledge learning based approach to improve the accuracy of the result. At the end of this paper, we have conducted several experiments to validate our designed trustworthiness measurement by involving real world data. Our evaluated trustworthiness result and real world data are matched very well.

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Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

Section: B Trustworthiness Evaluation In Different Environmentsmentioning

confidence: 99%

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Evaluation of e-commerce system trustworthiness using multi-criteria analysis

Wang

2014

2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM)

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“…The trust factor third party recommendation [9] is from professional or who has the experience with examinee. Trust factor time [10] could be the profile age or time of latest transactions is made. Profile [11] is a collection of personal data associated to a particular user.…”

Section: A Trust Factors and Trust Dimensionmentioning

confidence: 99%

A Novel Trustworthiness Measurement Model for Cloud Service

Wang

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Recent surveys show that there is enormous increase of organizations intending to adopt cloud, but one of their major obstructions is the trustworthiness evaluation of cloud service candidates. Performing evaluations of cloud service candidates is expensive and time consuming, especially with the breadth of services available today. In this situation, this paper proposes a novel trustworthiness measurement model to evaluate cloud service trustworthiness. By using the proposed trustworthiness measurement model, we first recognize and categorize trust factors in group of shared factors and unique factors. After special treatment of unique factors, all the trust factors in two groups are located in our designed trust dimension by different weighting and positioning approach. Then all the trust factors are converted to trust vectors, these various trust vectors of the services are considered by the designed multicriteria analysis mechanism which can help us to analyze trust features from different perspectives and provide a comprehensive trustworthiness evaluation. In case the measurement result is inconsistent with user preference, we also provide an adjustment approach based on knowledge learning to enhance the accuracy of measurement result. At the end of this paper, our designed trustworthiness measurement model is validated by several experiments. The experiments are designed based upon real world dataset and the results indicate the accuracy of our measurement can be guaranteed.

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Trustworthiness Measurement of E-commerce Systems Using Fuzzy Hybrid Multi-criteria Analysis

Wang

2015

2015 IEEE Trustcom/BigDataSE/Ispa

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A Time-Related Trust Model Based on Subjective Logic Theory

Cited by 3 publications

References 9 publications

Evaluation of e-commerce system trustworthiness using multi-criteria analysis

Evaluation of e-commerce system trustworthiness using multi-criteria analysis

A Novel Trustworthiness Measurement Model for Cloud Service

Trustworthiness Measurement of E-commerce Systems Using Fuzzy Hybrid Multi-criteria Analysis

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