Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey

August 24, 2018 ยท The Cartographer ยท ๐Ÿ› IEEE Transactions on Knowledge and Data Engineering

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey"

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Authors Bo Zhang, Boxiang Dong, Hui Wang arXiv ID 1808.08313 Category cs.CR: Cryptography & Security Citations 15 Venue IEEE Transactions on Knowledge and Data Engineering Last Checked 2 days ago
Abstract
Spurred by the development of cloud computing, there has been considerable recent interest in the Database-as-a-Service (DaaS) paradigm. Users lacking in expertise or computational resources can outsource their data and database management needs to a third-party service provider. Outsourcing, however, raises an important issue of result integrity: how can the client verify with lightweight overhead that the query results returned by the service provider are correct (i.e., the same as the results of query execution locally)? This survey focuses on categorizing and reviewing the progress on the current approaches for result integrity of SQL query evaluation in the DaaS model. The survey also includes some potential future research directions for result integrity verification of the outsourced computations.
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