Towards a trust management enabled identity metasystem

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Existing identity metasystems provide enabling tools to manage, select, and control of digital identities but they have not provided the support of trust management that should cover how trust requirements associated with digital identities are modeled, how runtime conditions for trust are evaluated, and how the results of trust evaluation are consumed by systems/applications. In this paper, the authors propose an approach toward a trust management enabled identity metasystem that covers the analysis of trust requirements and the development of trust management system in a consistent manner. The proposed trust management architecture extends the existing identity metasystems by introducing computing components for carrying out typical trust management tasks associated with digital identities. The computing components in proposed architecture provide intelligent services for these tasks. The proposed high level architecture targets the automation of the development of the trust management layer for digital identities.

Original languageEnglish
Title of host publicationIntelligent and knowledge-based computing for business and organizational advancements
EditorsHideyasu Sasaki, Dickson K. W. Chiu, Epaminondas Kapetanios, Patrick C. K. Hung, Frederic Andres, Ho-fung Leung, Richard Chbeir
Place of PublicationHershey, PA
PublisherIGI Global
Chapter7
Pages118-134
Number of pages17
ISBN (Electronic)9781466615786
ISBN (Print)9781466615779, 9781466615793
DOIs
Publication statusPublished - 2012

Bibliographical note

This chapter was first published in: International Journal of Organizational and Collective Intelligence, Volume 1, Issue 2, Pages 29 - 45.
https://doi.org/10.4018/joci.2010040102

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