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Consumers anonymous? : the privacy risks of de-identified and aggregated consumer data

Author: Janet Lo; John Lawford; Roxane Gunning; Public Interest Advocacy Centre (Canada)
Publisher: Ottawa, Ont. : Public Interest Advocacy Centre, 2011
Edition/Format:   eBook : Document : English
Summary:
The extraordinary rise of social networking and other forms of online activity has brought the issue of online privacy to the forefront of contemporary public debate surrounding consumer protection. More specifically the practice of "data mining" has received much media attention, as consumers' personal information is being bought and sold at an unprecedented rate. Private sector companies often aggregate personal  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Janet Lo; John Lawford; Roxane Gunning; Public Interest Advocacy Centre (Canada)
OCLC Number: 780140545
Notes: "6 October 2011."
Description: 1 online resource (141 pages)
Contents: 1. Introduction --
2. Methodology --
3. De-identification defined --
4. The consumer interest in de-identification --
5. De-identification techniques described --
6. Canadian industry de-identification policies and practices --
7. Re-identification of individuals from de-identified data --
8. Perspectives of de-identification and re-identification --
9. Possible harms flowing from use of de-identified data and re-identification of consumers --
10. Canadian legislation and de-identification --
11. International legislative approaches to de-identification and anonymization --
12. Conclusions.
Responsibility: [Janet Lo, John Lawford, and Roxane Gunning drafted the report].
More information:

Abstract:

The extraordinary rise of social networking and other forms of online activity has brought the issue of online privacy to the forefront of contemporary public debate surrounding consumer protection. More specifically the practice of "data mining" has received much media attention, as consumers' personal information is being bought and sold at an unprecedented rate. Private sector companies often aggregate personal information about their customers for internal purposes and analysis. Some companies may sell their aggregated data for profit. Other companies' business models are founded on combining various sets of aggregated data with sets of publicly available information in order to produce valuable data sets that can help companies make accurate assumptions about their target customers or engage in "data mining" practices.

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