Cpir-v Nearest Neighbor Privacy Preserving Query Method Based on Spark and Huffman Coding
A query method and privacy protection technology, which is applied in the field of CPIR-V nearest neighbor privacy protection query, can solve problems such as large amount of calculation, long calculation time, and increased calculation complexity, so as to reduce calculation time, reduce calculation amount, and protect Query Privacy Effects
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[0039] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0040] like figure 1 As shown, the present invention provides a kind of CPIR-V nearest neighbor privacy protection query method based on Spark and Huffman encoding, comprising:
[0041] 1), process the file to obtain the grid, and read the nearest neighbor matrix data of the grid in the file;
[0042]Divide the Voronoi diagram according to the interest points of the spatial data in the file, then divide the spatial data through the Voronoi diagram to obtain the Voronoi lattice, then perform grid division on the Voronoi lattice, count the number of potential nearest neighbors of the grid, and finally obtain the nearest neighbor matrix of the grid . The Voronoi diagram embodies the topological relationship of neighbors between spatial objects through the division of space, and each polygon in the diagram is called a Voronoi lattice, and the sides of the Voronoi latti...
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