Trusted interaction approach for dynamic service selection using multi-criteria decision making technique

Tao, Will; Zhang, Guangquan

doi:10.1016/j.knosys.2011.09.018

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…Assume that the nonfunctional attributes chosen by cj is ACSj. These attributes are adaptability, scalability, availability, reliability, quick response, controllability, and security, which can be denoted by 4 j and r T rust 5 j , respectively. Before calculating the reputation-based trust value, the reputation value of the service on t-th time window is to be calculated first.…”

Section: Case Studymentioning

confidence: 99%

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A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

Fan

Yang

Perros

et al. 2014

Int. J. Autom. Comput.

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Abstract:In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning (ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.

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Section: Case Studymentioning

confidence: 99%

“…Therefore, there should be a mechanism which helps users to make right decisions on selecting trustworthy cloud services for further interactions. However, in existing web services, service descriptions via web service description language (WSDL) are not sufficient in service selection based on service trust [4] .…”

Section: Introductionmentioning

confidence: 99%

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

Fan

Yang

Perros

et al. 2014

Int. J. Autom. Comput.

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“…D. Li et al [13] collected nonfunctional information about services and used it to assign dynamic trust levels to the service providers. W. Tao and G. Zhang [14] used Multi Criteria Decision Making (MCDM) on top of the MobiPass framework to help transacting entities select the most suitable transacting partners under a trusted interaction in dynamic environments in real time.…”

Section: Related Workmentioning

confidence: 99%

A Trust Evaluation Method for Supplier Selection

Qiu¹,

Cao

et al. 2013

2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications

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Trust and reputation systems play important roles in supplier selection, a topic that has been widely investigated from a business and operation point of view. However, we still lack of effective studies on supplier selection with security as the optimal target, which is a very important factor for Information and Communication Technology (ICT) systems. In response, this paper outlines a method that enables people to evaluate the relative and objective trustworthiness of the alternative suppliers. Our analysis is based solely on the original data of the vulnerabilities publicly available from OSVDB and NVD, which are impossible to tamper with. They are then interpreted by an approach that combines the Analytic Hierarchy Process (AHP) and objective analysis that enables the inference of relative trust valuations based on different evaluation indexes. A case study of five well known vendors is demonstrated with qualitative comparison based on visualization of data.

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“…In such dynamic computational environments, the numbers of entities are not definite and have not previous knowledge about each other. The contents of services are continually changing and interacts are done on one side in dynamic form [1].Meanwhile, regarding the increasing popularity of cloud computing and growing number of service providers with similar abilities [2], we are faced with new challenges such as selecting suitable service provider proportionate with expected users' necessities, presenting imperfect services by service providers [3] and lack of trust in value of claimed quality through feedbacks [4]. So, the selection of trustful service providers among existing service providers remain as a continual problem in such environments [5], [6] and most of interactions are not reliable due to this problem.…”

Section: Introductionmentioning

confidence: 99%

“…So, the selection of trustful service providers among existing service providers remain as a continual problem in such environments [5], [6] and most of interactions are not reliable due to this problem. Therefore, assurance for trustful interactions in cloud environments has become an important issue in this field [1], [4], [7]. So, before doing anything, the comprehending of this issue is necessary.…”

Section: Introductionmentioning

confidence: 99%

A trust evaluation model for selecting service provider in cloud environment

Agheli

Hosseini

Shojaee

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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Today, concurrence with information technology (IT) progress, a novel issue has been introduced which is named as" cloud computing". The greatest obstacle that often is considered for acceptance of cloud services is lack of customers' trust to service providers. In this research, the problem of creating trust in cloud services has been evaluated and a model is presented to perform a comprehensive prioritization about services which are provided by cloud providers and let users to compare and choose proper service providers (in proportion with their needs) and in the other hand, enable service providers to increase their services' quality through an intact competition. Based on the subjective logic trust model, this paper combines direct experiences, reputation values, satisfied interaction feedback and risk factor. The simulations performed on this model confirm its correctness and its rationality of our trust model.

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Trusted interaction approach for dynamic service selection using multi-criteria decision making technique

Cited by 12 publications

References 19 publications

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

A multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning approach

A Trust Evaluation Method for Supplier Selection

A trust evaluation model for selecting service provider in cloud environment

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