In contrast to classical cryptography, the challenge of privacy in the context of databases is to find a trade-off between a security guarantee and utility. Individuals in a database have to be protected while preseving the usefullnes of the data. In this paper, we provide an overview over the results in the field of database privacy with focus on privacy notions. On the basis of these notions, we provide a framework that allows for the definition meaningful guarantees based on the distribution on privacy breaches and sesitive predicates. Interestingly, these notions do not fulfill the privacy axioms defined by Kifer et al. in [1,2]. © Springer-Verlag Berlin Heidelberg 2013.
CITATION STYLE
Huber, M., Müller-Quade, J., & Nilges, T. (2013). Defining privacy based on distributions of privacy breaches. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8260 LNCS, 211–225. https://doi.org/10.1007/978-3-642-42001-6_15
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