| Download | - View accepted manuscript: Semi-Automated Derivation of Personal Privacy Policies (PDF, 311 KiB)
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| Author | Search for: Yee, George; Search for: Korba, Larry |
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| Format | Text, Article |
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| Conference | 2004 Information Resources Management Association International Conference (IRMA 2004), May 23-26, 2004, New Orleans, Louisiana, USA |
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| Abstract | Growth 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. |
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| Publication date | 2004 |
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| In | |
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| Language | English |
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| NRC number | NRCC 46539 |
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| NPARC number | 8913590 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 649a496f-1a45-4b95-9779-2d2424931afa |
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| Record created | 2009-04-22 |
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| Record modified | 2021-01-05 |
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