Utility and privacy of data sources: Can Shannon help conceal and reveal information?

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

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

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
Pages401-407
Number of pages7
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 Information Theory and Applications Workshop, ITA 2010 - San Diego, CA, United States
Duration: Jan 31 2010Feb 5 2010

Publication series

Name2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings

Other

Other2010 Information Theory and Applications Workshop, ITA 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period1/31/102/5/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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