ADSNARK: Nearly practical and privacy-preserving proofs on authenticated data

We study the problem of privacy-preserving proofs on authenticated data, where a party receives data from a trusted source and is requested to prove computations over the data to third parties in a correct and private way, i.e., the third party learns no information on the data but is still assured...

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Bibliographic Details
Main Author: Backes, Michael (author)
Other Authors: Barbosa, Manuel (author), Fiore, Dario (author), Reischuk, Raphael M. (author)
Format: conferencePaper
Language:eng
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/1822/40604
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/40604