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  1. Proceedings of the 2005 workshop on Digital identity management (DIM '05)
  2. Managing privacy preferences for federated identity management
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Pseudonym management using mediated identity-based cryptography
Privacy and identity management for everyone
Cryptographic alias e-mail addresses for privacy enforcement in business outsourcing
Federated identity management for protecting users from ID theft
Establishing and protecting digital identity in federation systems
Managing privacy preferences for federated identity management
Authentication using multiple communication channels
Privacy enhancing identity management: protection against re-identification and profiling
DECIDE: a scheme for decentralized identity escrow
An authentication method for interaction between personal servers based on the exchange of addresses
A delegation framework for federated identity management
Usable presentation of secure pseudonyms
Access control management in a distributed environment supporting dynamic collaboration

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Managing privacy preferences for federated identity management

Content Provider ACM Digital Library
Author Lam, John Ahn, Gail-Joon
Abstract We have witnessed that the Internet is now a prime vehicle for business, community, and personal interactions. The notion of identity is the important component of this vehicle. Identity management has been recently considered to be a viable solution for simplifying user management across enterprise applications. The network identity of each user is the global set of personal credentials and preferences constituting the various accounts. The prevalence of business alliances or coalitions necessitates the further evolution of identity management, named federated identity management (FIM). The main motivation of FIM is to facilitate the federation of identities among business partners emphasizing on ease of user management. In this paper, we investigate privacy issues in FIM, especially focusing on Liberty Alliance approach. We attempt to identify practical business scenarios that help us understand privacy issues in FIM. Also, we propose systematic mechanisms to specify privacy preferences in FIM.
Starting Page 28
Ending Page 36
Page Count 9
File Format PDF
ISBN 1595932321
DOI 10.1145/1102486.1102492
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-11-11
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy Policy languages Identity management
Content Type Text
Resource Type Article
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