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Publicly Auditable Inner Product Evaluation from Different Data Sources under On-time generated Multiple Keys
Uploading data streams to a resource-rich Moreover, the experimental result also shows cloud server for inner product estimation, an necessary building block in many popular stream applications (e.g., statistical monitoring), is appealing to many companies and individuals. On the other hand, verifying the result of the remote computation plays a crucial role in addressing the issue of trust. My project is meeting point on the multi-key scenario where data streams are uploaded by multiple data sources with distinct keys. We first present a novel homomorphism verifiable tag technique to publicly verify the outsourced inner product computation on the dynamic data streams, and then extend it to support the verification of matrix product computation.
Communication, novel homomorphism, product calculation scheme
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