Trust evaluation in service-oriented environments
thesis
posted on 2022-03-28, 13:28 authored by Lei LiIn service-oriented applications, effective and efficient trust evaluation is crucial. It provides valuable information to service clients, enabling them to select trustworthy service providers, consume high quality services and prevent monetary loss. -- One aspect of the work presented in this thesis is trust vector based approaches to trust rating aggregations in service-oriented environments. In the single trust vector approach, a trust vector of three values is computed, which can predict the trust trend and represent a set of ratings distributed within a time interval (e.g. a week or a month etc.). With trust vectors, two service providers with similar final trust values can be compared. In the multiple trust vector approach, a two dimensional aggregation is performed, which consists of both vertical and horizontal aggregations of trust ratings. The vertical aggregation calculates the aggregated rating representing the trust level for the services delivered in a small time period. The horizontal aggregation applies our proposed multiple time interval (MTI) greedy and optimal algorithms to determine the minimal number of time intervals, within each of which a trust vector can be calculated to represent all the ratings in that time interval. The proposed algorithms can return a small set of MTI to represent a large set of trust ratings and preserve the trust features well. -- The other aspect of the work presented in this thesis is trust-oriented composite service selection and discovery. In service-oriented environments, a service may invoke other services offered by different providers forming composite services. The complex invocations in composite services greatly increase the complexity of trustoriented service selection and discovery. To evaluate the subjective global trust of a composite service based on subjective probability theory, a set of subjective trust evaluation approaches have been proposed, which can map the non-binary discrete subjective ratings to trust values, evaluate the global trust value deductively and maintain the subjective property of trust ratings and trust results. In addition, two algorithms have been proposed for trust-oriented service selection and discovery. -- The properties of the above proposed algorithms have been studied both analytically and empirically. These studies illustrate that the proposed algorithms are effective and efficient.
History
Table of Contents
Introduction -- Literature review on trust -- A trust vector approach in service-oriented applications -- Two dimensional trust rating aggregations -- Trust-oriented composite service selection -- Subjective trust evaluation in composite services -- Conclusions and future work.Notes
Bibliography: p. 217-226 Thesis by publication.Awarding Institution
Macquarie UniversityDegree Type
Thesis PhDDegree
Thesis (PhD), Macquarie University, Faculty of Science, Dept. of ComputingDepartment, Centre or School
Department of ComputingYear of Award
2011Principal Supervisor
Yan WangRights
Copyright disclaimer: http://www.copyright.mq.edu.au Copyright Lei Li 2011.Language
EnglishExtent
1 online resource (xx, 226 p.) ill. (some col.)Former Identifiers
mq:22779 http://hdl.handle.net/1959.14/195551 1746099Usage metrics
Categories
Keywords
trust evaluationcomposite servicestrust rating aggregationWeb services -- ReliabilityVector analysisComputer networksTrustElectronic commerce -- Psychological aspectsservice trustElectronic commerceVector algebraReliability RatingsBusiness enterprisesComputer networks -- ReliabilityWeb servicestrust vectorsubjective probabilityService-oriented architecture (Computer science)Business enterprises -- Computer networksElectronic commerce -- Technological innovations