Neural network-based reputation model in a distributed system

Weihua Song, Vir V. Phoha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Current centralized trust models are inappropriate to apply in a large distributed multi-agent system, due to various evaluation models and partial observations in local level reputation management. This paper proposes a distributed reputation management structure, and develops a global reputation model. The global reputation model is a novel application of neural network techniques in distributed reputation evaluations. The experimental results showed that the model has robust performance under various estimation accuracy requirements. More important, the model is adaptive to changes in distributed system structures and in local reputation evaluations.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on E-Commerce Technology, CEC 2004
EditorsM. Bichler, J.-Y. Chung
Pages321-324
Number of pages4
StatePublished - Dec 27 2004
Externally publishedYes
EventProceedings - IEEE International Conference on E-Commerce Technology, CEC 2004 - San Diego, CA, United States
Duration: Jul 6 2004Jul 9 2004

Publication series

NameProceedings - IEEE International Conference on E-Commerce Technology, CEC 2004

Other

OtherProceedings - IEEE International Conference on E-Commerce Technology, CEC 2004
CountryUnited States
CitySan Diego, CA
Period7/6/047/9/04

ASJC Scopus subject areas

  • Engineering(all)

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