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- W4385270547 abstract "This research studies the problem of enabling users to verify that the results of analytical queries such as top k they receive from a potentially untrustworthy cloud are indeed correct. Existing work shows that it is possible for a data owner to create an authentication data structure (ADS) by which a cloud can build a verification object (VO) to prove the correctness of a query result. The current technique, however, has largely ignored the computation cost in VO construction and query result verification. In this paper, we extend and integrate Intersection tree (I-tree) and Merkle hash-tree (MH-tree) to develop a new ADS called Intersection Function Merkle Hash-tree (IFMH-tree). We propose two versions of the IFMH-tree, one-signature and multi-signature, and study their performance in supporting three representative types of analytic queries, including top-k, range, and KNN queries. Our results show that the new technique outperforms the existing solution to a large extent." @default.
- W4385270547 created "2023-07-27" @default.
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- W4385270547 date "2023-04-01" @default.
- W4385270547 modified "2023-09-27" @default.
- W4385270547 title "Verifying the Correctness of Analytic Query Results (Extended Abstract)" @default.
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- W4385270547 doi "https://doi.org/10.1109/icde55515.2023.00374" @default.
- W4385270547 hasPublicationYear "2023" @default.
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