Determining Internet Users' Values for Private Information

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TypeArticle
ConferenceSecond Annual Conference on Privacy, Security and Trust (PST'04), October 14-15, 2004., Fredericton, New Brunswick, Canada
AbstractWe examine the problem of determining a user's value for his/her private information. Web businesses often offer rewards, such as discounts, free downloads and website personalization in exchange for information about the user, such as name, phone number and e-mail address. We present a technique that helps the user determine whether such an offer is acceptable by computing its value in terms of the consequences that could occur as a result of such an information exchange. Bayesian networks are used to model dependencies in the user's utilities for such consequences, and utility elicitation is used to reduce the uncertainty of these utilities. We also derive a “bother cost”, which is used by the elicitation engine to determine the optimal time to stop the question process. A simple example experiment demonstrates the effectiveness of the technique by significantly improving the user's expected utility in a simple privacy negotiation.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number47408
NPARC number5763237
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Record identifier0dd7da53-f68f-4346-9d90-04e3f1a0a8c4
Record created2009-03-29
Record modified2016-05-09
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