TY - GEN
T1 - Privacy-preserving musical database matching
AU - Shashanka, Madhusudana
AU - Smaragdis, Paris
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=50249105802&partnerID=8YFLogxK
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U2 - 10.1109/ASPAA.2007.4392989
DO - 10.1109/ASPAA.2007.4392989
M3 - Conference contribution
AN - SCOPUS:50249105802
SN - 9781424416196
T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
SP - 319
EP - 322
BT - 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
T2 - 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
Y2 - 21 October 2007 through 24 October 2007
ER -