Privacy-preserving musical database matching

Madhusudana Shashanka, Paris Smaragdis

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

Abstract

In this paper we present an illustratory process which allows privacy-preserving transactions in the context of musical databases. In particular we address the problem of matching a piece of music audio to a service database in such a way such that the database provider will not directly observe the query, nor its result, thereby preserving the privacy of the inquirer. We formulate this process within the field of secure multiparty computation and show how such a transaction can be achieved once we derive secure versions of basic signal processing operations.

Original languageEnglish (US)
Title of host publication2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
Pages319-322
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA - New Paltz, NY, United States
Duration: Oct 21 2007Oct 24 2007

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
Country/TerritoryUnited States
CityNew Paltz, NY
Period10/21/0710/24/07

ASJC Scopus subject areas

  • Signal Processing

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