Trust evaluation in service-oriented environments
thesisposted on 28.03.2022, 13:28 by Lei Li
In 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.
Table of ContentsIntroduction -- 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.
NotesBibliography: p. 217-226 Thesis by publication.
Awarding InstitutionMacquarie University
Degree TypeThesis PhD
DegreeThesis (PhD), Macquarie University, Faculty of Science, Dept. of Computing
Department, Centre or SchoolDept. of Computing
Year of Award2011
Principal SupervisorYan Wang
RightsCopyright disclaimer: http://www.copyright.mq.edu.au Copyright Lei Li 2011.
Extent1 online resource (xx, 226 p.) ill. (some col.)
Former Identifiersmq:22779 http://hdl.handle.net/1959.14/195551 1746099
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