Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rajavel, Rajkumar; Krishnasamy, Lalitha; Nagappan, Partheeban; Moorthy, Usha; Easwaramoorthy, Sathishkumar Veerappampalayam Title A name given to the resource Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Scientific Reports;Volume;15;Issue;1;Article No.;9457; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-92643-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-92643-z</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000379134?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000379134?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajavel R., Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India; Krishnasamy L., Department of Artificial Intelligence and Data Science, Nandha Engineering College, Tamil Nadu, Erode, India; Nagappan P., Department of Computer Science and Engineering, Galgotias University, Greater Noida, India; Moorthy U., Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India; Easwaramoorthy S.V., Department of Data Science and Artificial Intelligence, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia Description An account of the resource Enforcing a trust management model in the broker-based negotiation context is identified as a foremost challenge. Creating such trust model is not a pure technical issue, but the technology should enhance the cloud service negotiation framework for improving the utility value and success rate between the bargaining participants (consumer, broker, and service provider) during their negotiation progression. In the existing negotiation frameworks, trusts were established using reputation, self-assessment, identity, evidence, and policy-based evaluation techniques for maximizing the negotiators (cloud participants) utility value and success rate. To further maximization, a Bayesian-based adaptive probabilistic trust management model is enforced in the future broker-based trusted cloud service negotiation framework. This adaptive model dynamically ranks the service provider agents by estimating the success rate, cooperation rate and honesty rate factors to effectively measure the trustworthiness among the participants. The measured trustworthiness value will be used by the broker agents for prioritization of trusted provider agents over the non-trusted provider agents which minimizes the bargaining conflict between the participants and enhance future bargaining progression. In addition, the proposed adaptive probabilistic trust management model formulates the sequence of bilateral negotiation process among the participants as a Bayesian learning process. Finally, the performance of the projected cloud-enabled e-commerce negotiation framework with Bayesian-based adaptive probabilistic trust management model is compared with the existing frameworks by validating under different levels of negotiation rounds. The Author(s) 2025. Subject The topic of the resource Adaptive probabilistic trust management model; Bayesian learning; Broker-based negotiation; Cloud computing; E-commerce negotiation framework; Multi-agent system Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online