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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Measuring Privacy Compliance Using Fitness Metrics
verfasst von : Sebastian Banescu, Milan Petković, Nicola Zannone
Erschienen in: Business Process Management
Verlag: Springer Berlin Heidelberg
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Nowadays, repurposing of personal data is a major privacy issue. Detection of data repurposing requires posteriori mechanisms able to determine how data have been processed. However, current a posteriori solutions for privacy compliance are often manual, leading infringements to remain undetected. In this paper, we propose a privacy compliance technique for detecting privacy infringements and measuring their severity. The approach quantifies infringements by considering a number of deviations from specifications (i.e., insertion, suppression, replacement, and re-ordering).