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01.01.2016

Anonymizing multimedia documents

verfasst von: Bechara Al Bouna, Eliana J. Raad, Richard Chbeir, Charbel Elia, Ramzi Haraty

Erschienen in: World Wide Web | Ausgabe 1/2016

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Abstract

Multimedia documents sharing and outsourcing have become part of the routine activity of many individuals and companies. Such data sharing puts at risk the privacy of individuals, whose identities need to be kept secret, when adversaries get the ability to associate the multimedia document’s content to possible trail of information left behind by the individual. In this paper, we propose de-linkability, a privacy-preserving constraint to bound the amount of information outsourced that can be used to re-identify individuals. We provide a sanitizing M D ^∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. A set of experiments are elaborated to demonstrate the efficiency of our technique.

Vorheriger Artikel Context respectful counseling agent virtualized on the web

Nächster Artikel Data Services with uncertain and correlated semantics

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Titel: Anonymizing multimedia documents
verfasst von: Bechara Al Bouna
Eliana J. Raad
Richard Chbeir
Charbel Elia
Ramzi Haraty
Publikationsdatum: 01.01.2016
Verlag: Springer US
Erschienen in: World Wide Web / Ausgabe 1/2016
Print ISSN: 1386-145X
Elektronische ISSN: 1573-1413
DOI: https://doi.org/10.1007/s11280-015-0327-3

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