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Privacy
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File Title:
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On the role of contextual information for privacy attacks and classification
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Abstract: |
Many papers and articles attempt to define or even quantify privacy, typically with a major focus on anonymity. A related research exercise in the area of evidence-based trust models for ubiquitous computing environments has given us an impulse to take a closer look at the definition(s) of privacy in the Common Criteria, which we then transcribed in a bit more formal manner. This lead us to a further review of unlinkability, and revision of another semi-formal model allowing for expression of anonymity and unlinkability -- the Freiburg Privacy Diamond. We propose new means of describing (obviously only observable) characteristics of a system to reflect the role of contexts for profiling -- and linking -- users with actions in a system. We believe this approach should allow for evaluating privacy in large data sets. |
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Submitted On: |
30 Apr 2005 |
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Submitted By: |
Dan Cvrcek (cvrcek) |
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File Date: |
30 Apr 2005 |
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File Author: |
Dan Cvrcek, Vashek Matyas |
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File Version: |
1.0 |
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File Size: |
181.92Kb |
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File Type: |
pdf |
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Downloads: |
17 |
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