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140691 - Provenance-based trust estimation for service composition.pdf (323.73 kB)

Provenance-based trust estimation for service composition

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conference contribution
posted on 2023-05-23, 14:42 authored by Jiang, J, Quan BaiQuan Bai
Provenance information can greatly enhance transparency and accountability of shared services. In this paper, we introduce a trust estimation approach which can derive trust information based on the analysis of provenance data. This approach can utilize the value of provenance data, and enhance trust estimation in open dynamic environments.

History

Publication title

Proceedings of the 26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013): Lecture Notes in Computer Science, volume 8272

Volume

8272

Editors

S Cranefield and A Nayak

Pagination

68-73

ISBN

978-3-319-03679-3

Department/School

School of Information and Communication Technology

Publisher

Springer

Place of publication

Switzerland

Event title

26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013)

Event Venue

Dunedin, New Zealand

Date of Event (Start Date)

2013-12-01

Date of Event (End Date)

2013-12-06

Rights statement

Copyright 2013 Springer

Repository Status

  • Open

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