Comparing and Matching Privacy Policies Using Community Consensus

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TypeArticle
ConferenceProceedings of the 2005 Information Resources Management Association International Conference (IRMA 2005), May 15-18, 2005., San Diego, California, USA
AbstractThe growth of the Internet is increasing the deployment of e-services in such areas as e-commerce, e-learning, and e-health. In parallel, service providers and consumers are realizing the need for privacy. Managing privacy using privacy policies is a promising approach. In this approach, an e-service consumer and an e-service provider each have separate privacy policies. Before an e-service is engaged, the consumer's policy must “match” the provider's policy. However, how is this matching defined? We propose a method for comparing consumer and provider privacy policies by comparing the privacy levels of privacy preferences in the policies. A “match” between consumer and provider privacy policies is then defined using this method. Since the notion of privacy is subjective and can vary from individual to individual, the privacy levels of individual preferences are obtained through community consensus.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number47430
NPARC number8913499
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Record identifier723a9c0c-c758-46a1-8402-c57f795446dc
Record created2009-04-22
Record modified2016-05-09
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