ADSNARK: Nearly Practical and Privacy-Preserving Proofs on Authenticated Data

"The authors 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 that the claimed proof is valid. Their paper particularly focuses on the challenging requirement that the third party should be able to verify the validity with respect to the specific data authenticated by the source - even without having access to that source."

Provided by: Saarland University Topic: Security Date Added: Nov 2014 Format: PDF

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