DocumentCode
56754
Title
Private Computing with Garbled Circuits [Applications Corner]
Author
Lazzeretti, Riccardo ; Barni, M.
Author_Institution
Univ. of Siena, Siena, Italy
Volume
30
Issue
2
fYear
2013
fDate
Mar-13
Firstpage
123
Lastpage
127
Abstract
Private computing provides a clever way to process data without revealing any details about the data itself to the party in charge of processing it. When the to-beprocessed data is a signal, private computing is customarily referred to as SPED, which stands for signal processing in the encrypted domain, since signal protection is usually achieved by encrypting the signals and processing them in encrypted form. Yao´s garbled circuits (GCs) theory is one of the most used approaches to private computing. It permits the evaluation of binary circuits on input bits privately owned by the two parties involved in the computation, so that the final result is available to one of them (or both), while intermediate values cannot be discovered by any of the parties.The scope of this paper is to introduce the readers to GC´s theory and provide some hints for its use in practical applications.
Keywords
cryptography; data privacy; signal processing; GC theory; SPED computing; garbled circuits; private computing; signal encryption; signal processing; signal protection; signal-processing-in-the-encrypted domain; Bioinformatics; Biometrics; Cryptography; Databases; Medical diagnostic imaging; Medical services; Multimedia communication;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2012.2230540
Filename
6461609
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