This paper proposes a private ranking scheme with linear additive scoring for efficient top K keyword search on modest-sized cloud datasets.

Feb 18, 2018 · This paper proposes a private ranking scheme with linear ad- ditive scoring for efficient top K keyword search on modest-sized cloud datasets.

This paper proposes a private ranking scheme with linear additive scoring for efficient top K keyword search on modest-sized cloud datasets. This scheme strikes ...

Details on indexing and run-time conjunctive query processing are provided and an evaluation that assesses the accuracy, efficiency, and privacy tradeoffs ...

Privacy challenge on the cloud. ▫ Client offloads data to the cloud, and wants to exploit cloud computing resource. ▫ Server is honest-but-curious: ...

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Privacy and Efficiency Tradeoffs for Multiword Top<i>K</i>Search with Linear Additive Rank Scoring. https://doi.org/10.1145/3178876.3186084 · Full text.

Privacy and Efficiency Tradeoffs for Multiword Top K Search With Linear Additive Rank Scoring by Daniel Agun, Jinjin Shao, Shiyu Ji, Stefano Tessaro,

Privacy and efficiency tradeoffs for multiword top k search with linear additive rank scoring. D Agun, J Shao, S Ji, S Tessaro, T Yang. Proceedings of the 2018 ...

This paper proposes a private ranking scheme with linear additive scoring for efficient top K keyword search on modest-sized cloud datasets. This scheme strikes ...