Hippocratic Databases

By Rakesh Agrawal, Jerry Kiernan, Rayadurgam Srikant, Yirong Xu. Very Large Data Bases Conference, 2002

830 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2871be712c203b476ab41e23e4439db4f4137e50

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In Artificial Intelligence

In Management Science and Operations Research

Citations in the corpus

Information security and privacy in healthcare: current state of research (2010, background): “Theoretical advances in data masking, discussed earlier, are also being strengthened contemporaneously with industrial research and technological advances such as the Hippocratic database (Agrawal et al., 2002) and the Sovereign Information Sharing platform (Agrawal et al.”
On the complexity of optimal K-anonymity (2004, background): “In certain scenarios such as tracking epidemics and product marketing, a data miner requires access to large volumes of (possibly) personal information, in order to spot interesting trends or correlations.”
Database security - concepts, approaches, and challenges (2005, background): “In the area of discretionary access control models for relational database systems, an important early contribution was the development of the System R access control model [51], [42], which strongly influenced access control models of current commercial relational DBMSs.”
A Privacy Manager for Cloud Computing (2009, methodology): “Although now withdrawn from production, IBM Tivoli Privacy Manager [32] provided mechanisms for defining fine-grained privacy policies and associating them with data.”
L-diversity: Privacy beyond k-anonymity (2007, neutral): “[1-10], [11-20], etc), we would end up with very large q∗-blocks.”
Order preserving encryption for numeric data (2004, background): “Drawing upon privacy legislations and guidelines worldwide, Hippocratic databases also identify the protection of personal data from unauthorized acquisition as a vital requirement [1].”
Query Execution Assurance for Outsourced Databases (2005, background): “More work is needed in understanding and dealing with complex query models (e.g., multi-querier and multi-owner) and more e(cid:14)cient mechanisms for handling update queries need to be designed.”
L-diversity: privacy beyond k-anonymity (2006, neutral): “Hippocratic databases [Agrawal et al. 2002] are a proposed design principle for building database systems which regulate the sharing of private data with third parties.”
A framework for high-accuracy privacy-preserving mining (2004, background): “[6, 4, 17, 5] deal with Hippocratic databases which are the database systems that take responsibility of the privac y of data they manage.”
Assessing global disclosure risk in masked microdata (2004, background): “Various privacy regulations analyzed from a database perspective are presented in [2].”