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
Link To Document :
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