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Recently, Yuan and Yu [59] presented a new verifiable aggregation query scheme for outsourced databases.
In this paper we consider the problem of ensuring verifiable yet efficient results to typical aggregation queries in a distributed, multi-party setting.
A verifiable database scheme ({mathsf{VDB}}=({mathsf{Setup}}, {mathsf{Query}}, {mathsf{Verify}}, {mathsf{Update}})) consists of four algorithms defined as follows.
We derive Proof Sketches for count aggregates, and extend them to Proof Sketches for verifiable random samples, which, in turn, can be used to provide verifiable approximations for a broad class of data-analysis queries, including quantiles and heavy hitters.
Verifiable secret sharing.
Publicly verifiable mixes.
We characterize queries for which, whenever a set of tuples T subsumes a tuple t then one of the tuples in T also subsumed t, yielding effciently verifiable cases of subsumption.
"It needs to be verifiable.
Some of the stories were verifiable.
We are talking about verifiable comment.
Query: huh?
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