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

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

doi:10.1109/ITA.2010.5454092

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 proceeding › Conference contribution

8 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 language	English (US)
Title of host publication	2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
Pages	401-407
Number of pages	7
DOIs	https://doi.org/10.1109/ITA.2010.5454092
State	Published - 2010
Externally published	Yes
Event	2010 Information Theory and Applications Workshop, ITA 2010 - San Diego, CA, United States Duration: Jan 31 2010 → Feb 5 2010

Publication series

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

Other

Other	2010 Information Theory and Applications Workshop, ITA 2010
Country/Territory	United States
City	San Diego, CA
Period	1/31/10 → 2/5/10

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems

Access to Document

10.1109/ITA.2010.5454092

Cite this

Sankar, L., Rajagopalan, S. R., & Poor, H. V. (2010). Utility and privacy of data sources: Can Shannon help conceal and reveal information? In 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings (pp. 401-407). Article 5454092 (2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings). https://doi.org/10.1109/ITA.2010.5454092

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title = "Utility and privacy of data sources: Can Shannon help conceal and reveal information?",

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.",

author = "Lalitha Sankar and Rajagopalan, {S. Raj} and Poor, {H. Vincent}",

year = "2010",

doi = "10.1109/ITA.2010.5454092",

language = "English (US)",

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series = "2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings",

pages = "401--407",

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Sankar, L, Rajagopalan, SR & Poor, HV 2010, Utility and privacy of data sources: Can Shannon help conceal and reveal information? in 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings., 5454092, 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings, pp. 401-407, 2010 Information Theory and Applications Workshop, ITA 2010, San Diego, CA, United States, 1/31/10. https://doi.org/10.1109/ITA.2010.5454092

Utility and privacy of data sources: Can Shannon help conceal and reveal information? / Sankar, Lalitha; Rajagopalan, S. Raj; Poor, H. Vincent.
2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings. 2010. p. 401-407 5454092 (2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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

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All Science Journal Classification (ASJC) codes

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