DocumentCode
1934894
Title
A Proposal Towards Customers´ Privacy Preference Policy
Author
Wei, Ran ; Zhan, Justin
Author_Institution
Carnegie Mellon CyLab Japan, Kobe
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
3022
Lastpage
3027
Abstract
Increasingly, companies hold more and more data about their customers. This data is seen as useful for the company, although often customers do not wish to share their personal data. Methods such as P3P for verifying a company´s privacy policy are available, however, they do not provide much choice to the customer, and they provide an all-or-nothing approach. We explore the privacy preference policy approach which attempts to align the privacy preferences of the individual with that of a company. We further critique this method and develop it to incorporate levels of importance and priority.
Keywords
data privacy; security of data; customer privacy preference policy; personal data; Books; Companies; Cybernetics; Data privacy; Internet; Law; Machine learning; Proposals; Protection; Radio access networks; Critical information; Privacy preference policy (PPP); Sensitive information;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370666
Filename
4370666
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