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Trust-based service provider selection in open environments

Published: 11 March 2007 Publication History

Abstract

The problem of selecting correct counterparts to interact with is of particular relevance in open and dynamic environments. This problem increases when third parties may vary their behaviour at will. In this paper we examine the problem of service provider selection using trust and reputation techniques. Most approaches to service provider selection are based on the client's proper experiences about particular services from particular providers. A problem arises when no previous experience is available. To solve this problem, previous approaches have proposed that clients obtain the required reputation information from their acquaintances. In contrast, our work advocates an experience-based approach for service provider selection, in which clients use trust and reputation mechanisms to infer expectations of future providers' behaviour from past experiences in similar situations. We present some experimental results that support our proposal.

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  • (2022)M-BSRM: Multivariate BayeSian Runtime QoS Monitoring Using Point Mutual InformationIEEE Transactions on Services Computing10.1109/TSC.2019.295260415:1(484-497)Online publication date: 1-Jan-2022
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      cover image ACM Conferences
      SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
      March 2007
      1688 pages
      ISBN:1595934804
      DOI:10.1145/1244002
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 11 March 2007

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      Author Tags

      1. multiagent systems
      2. service-oriented computing
      3. trust mechanisms

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      Cited By

      View all
      • (2024)Space-Time-Aware Proactive QoS Monitoring for Mobile Edge ComputingIEEE Transactions on Network and Service Management10.1109/TNSM.2024.342484721:5(5662-5676)Online publication date: Oct-2024
      • (2022)CARES: Context-Aware Trust Estimation for Realtime Crowdsensing Services in Vehicular Edge NetworksACM Transactions on Internet Technology10.1145/351424322:4(1-24)Online publication date: 14-Nov-2022
      • (2022)M-BSRM: Multivariate BayeSian Runtime QoS Monitoring Using Point Mutual InformationIEEE Transactions on Services Computing10.1109/TSC.2019.295260415:1(484-497)Online publication date: 1-Jan-2022
      • (2022)Fog node discovery and selectionFuture Generation Computer Systems10.1016/j.future.2022.04.034135:C(114-128)Online publication date: 1-Oct-2022
      • (2022)Mobility-Aware Proactive QoS Monitoring for Mobile Edge ComputingService-Oriented Computing10.1007/978-3-031-20984-0_9(134-142)Online publication date: 22-Nov-2022
      • (2021)Mobility and Dependence-Aware QoS Monitoring in Mobile Edge ComputingIEEE Transactions on Cloud Computing10.1109/TCC.2021.30630509:3(1143-1157)Online publication date: 1-Jul-2021
      • (2020)Trust Is in the Air: A New Adaptive Method to Evaluate Mobile Wireless NetworksTesting Software and Systems10.1007/978-3-030-64881-7_9(135-149)Online publication date: 2-Dec-2020
      • (2018)Entropy-based Fuzzy AHP Model for Trustworthy Service Provider Selection in Internet of Things2018 IEEE 43rd Conference on Local Computer Networks (LCN)10.1109/LCN.2018.8638056(606-613)Online publication date: Oct-2018
      • (2018)An approach based on the transferrable belief model for trust evaluation in web servicesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-017-2730-422:21(7293-7311)Online publication date: 1-Nov-2018
      • (2014)Measuring Credit of Web ServiceProceedings of the 2014 IEEE International Conference on Web Services10.1109/ICWS.2014.67(423-430)Online publication date: 27-Jun-2014
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