Computer Science – Information Theory
Scientific paper
2010-02-06
Computer Science
Information Theory
presented at the 4th Information Theory and Applications Workshop, La Jolla, CA
Scientific paper
The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the need for an analytical framework that quantifies unequivocally how safe private data can be (privacy) while still providing useful benefit (utility) to multiple legitimate information consumers. Rate distortion theory is shown to be a natural choice to develop such a framework which includes the following: modeling of data sources, developing application independent utility and privacy metrics, quantifying utility-privacy tradeoffs irrespective of the type of data sources or the methods of providing privacy, developing a side-information model for dealing with questions of external knowledge, and studying a successive disclosure problem for multiple query data sources.
Poor Harold Vincent
Rajagopalan Raj S.
Sankar Lalitha
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