Semi-Automated Derivation of Personal Privacy Policies

Download
  1. (PDF, 317 KB)
AuthorSearch for: ; Search for:
TypeArticle
ConferenceProceedings of the 2004 Information Resources Management Association International Conference (IRMA 2004), May 23-26, 2004., New Orleans, Louisiana, USA
AbstractGrowth of the Internet has been accompanied by growth of Internet e-services (e.g. e-commerce, e-health). This proliferation of e-services has in turn fuelled the need to protect the personal privacy of e-service users. We advocate a privacy policy negotiation approach to protecting personal privacy [1,2]. However, it is evident that the specification of a personal privacy policy must be as easy as possible for the consumer. In this paper, we define the content of personal privacy policies using privacy principles that have been enacted into legislation. We then present two semi-automated approaches for the derivation of personal privacy policies. The first approach makes use of common privacy rules obtained through community consensus. This consensus can be obtained from research and/or surveys. The second approach makes use of existing privacy policies in a peer-to-peer community.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number46539
NPARC number8913590
Export citationExport as RIS
Report a correctionReport a correction
Record identifier649a496f-1a45-4b95-9779-2d2424931afa
Record created2009-04-22
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)