Open AccessProceedings Article
Hippocratic databases
Rakesh Agrawal,Jerry Kiernan,Ramakrishnan Srikant,Yirong Xu +3 more
- 20 Aug 2002
pp 143-154
668
TL;DR: In this article, the authors argue that future database systems must include responsibility for the privacy of data they manage as a founding tenet, and enunciate the key privacy principles for such Hippocratic database systems.
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Abstract: The Hippocratic Oath has guided the conduct of physicians for centuries. Inspired by its tenet of preserving privacy, we argue that future database systems must include responsibility for the privacy of data they manage as a founding tenet. We enunciate the key privacy principles for such Hippocratic database systems. We propose a strawman design for Hippocratic databases, identify the technical challenges and problems in designing such databases, and suggest some approaches that may lead to solutions. Our hope is that this paper will serve to catalyze a fruitful and exciting direction for future database research.
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Citations
L-diversity: privacy beyond k-anonymity
Ashwin Machanavajjhala,Johannes Gehrke,Daniel Kifer,Muthuramakrishnan Venkitasubramaniam +3 more
- 03 Apr 2006
TL;DR: This paper shows with two simple attacks that a \kappa-anonymized dataset has some subtle, but severe privacy problems, and proposes a novel and powerful privacy definition called \ell-diversity, which is practical and can be implemented efficiently.
L-diversity: Privacy beyond k-anonymity
TL;DR: This paper shows with two simple attacks that a \kappa-anonymized dataset has some subtle, but severe privacy problems, and proposes a novel and powerful privacy definition called \ell-diversity, which is practical and can be implemented efficiently.
Order preserving encryption for numeric data
Rakesh Agrawal,Jerry Kiernan,Ramakrishnan Srikant,Yirong Xu +3 more
- 13 Jun 2004
TL;DR: This work presents an order-preserving encryption scheme for numeric data that allows any comparison operation to be directly applied on encrypted data, and is robust against estimation of the true value in such environments.
On the complexity of optimal K-anonymity
Adam Meyerson,Ryan Williams +1 more
- 14 Jun 2004
TL;DR: It is proved that two general versions of optimal k-anonymization of relations are NP-hard, including the suppression version which amounts to choosing a minimum number of entries to delete from the relation.
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Jennifer Widom
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TL;DR: This paper provides numerous motivating applications for Trio and lays out preliminary plans for the data model, query language, and prototype system.
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