A theory of utility and privacy of data sources

Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Scopus citations

Abstract

The problem of frequent private information "leakage" from the myriad large centralized searchable data repositories in use today drives the need for an analytical framework that quantifies unequivocally how safe private data can be (privacy) while still providing measurable benefit (utility) to multiple legitimate information consumers. Rate distortion theory is shown to be a natural choice to develop such a framework which includes 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, and developing a side-information model for dealing with questions of external knowledge.

Original languageEnglish (US)
Title of host publication2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings
Pages2642-2646
Number of pages5
DOIs
StatePublished - Aug 23 2010
Externally publishedYes
Event2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX, United States
Duration: Jun 13 2010Jun 18 2010

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8103

Other

Other2010 IEEE International Symposium on Information Theory, ISIT 2010
CountryUnited States
CityAustin, TX
Period6/13/106/18/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Sankar, L., Rajagopalan, S. R., & Poor, H. V. (2010). A theory of utility and privacy of data sources. In 2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings (pp. 2642-2646). [5513684] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2010.5513684