Titlebook: Querying over Encrypted Data in Smart Grids; Mi Wen,Rongxing Lu,Xuemin (Sherman) Shen Book 2014 The Author(s) 2014 Conjunctive query.Data

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Perennial长期的

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Introduction,smart grid data that will have to be managed by utilities is going to surge from 10,780 terabytes (TB) in 2010 to over 75,200 TB in 2015. How to query and mine this massive and heterogeneous power system raw data to support decision making and ensure reliability will be very critical for smart grid.

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Equality Query for Auction in Emerging Smart Grid Marketing,nquire suitable bids while preserving the privacy of the energy buyers (EBs). Additionally, to facilitate the seller to search for detailed information of the bids, we also propose an extension of SESA to support conjunctive keywords search.

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Range Query over Encrypted Metering Data for Financial Audit,d range query predicate to encrypt the searchable attributes and session keys of the encrypted data. Meanwhile, the requester’s rang query can be transferred into two query tokens, which are used to find the matched query results.

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