NDLI: A Context-Aware Trust Establishment and Mapping Framework for Web Applications

Content Provider	IEEE Xplore Digital Library
Author	Wang, Yong Li, Ming Xue, Jingfeng Hu, Jingjing Zhang, Longfei Liao, Lejian
Copyright Year	2007
Abstract	In order to reflect the dynamic feature of situations and of peers' behavior more accurately, context information, which contains different attributes of situations, should be considered explicitly when evaluating trust. A context-aware trust establishment framework based on Bayesian networks is proposed. In our proposal, the contextual factors are inferred statistically, not assigned in ad hoc way as most existing solutions. We also propose a Bayesian trust mapping approach between related contexts to help application agents infer the trustworthiness in an unfamiliar context from the trust information in other contexts. We argue that the relevance of contexts is specific to agents and it should not be estimated independent of agents' trust or even fixed as in other frameworks. Our approach makes the relevance measurement implicit together with trust mapping through Bayesian networks. Simulation experiments show that our system can make more accurate trust inferences than ad hoc context-aware systems.
Starting Page	892
Ending Page	896
File Size	2094773
Page Count	5
File Format	PDF
ISBN	0769530729
e-ISBN	9780769530727
DOI	10.1109/CIS.2007.107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context-aware services Computer science Peer to peer computing Bayesian methods Information security Application software Proposals Protection Computational intelligence Context modeling
Content Type	Text
Resource Type	Article

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