A similar quadtree based on location K-anonymity algorithm

Fu Sheng Jin; Zi Shi Ye; Hong Song

A similar quadtree based on location K-anonymity algorithm

Fu Sheng Jin^*
, Zi Shi Ye
, Hong Song

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Through optimizing the degree of anonymity and accuracy of location-based on services of the Casper model, a similar quadtree based location K-anonymity algorithm is proposed. The algorithm uses a bottom-up mechanism, and in expanding the scanning area, the grids located around requesting user's grid are first scanned, then the level and spatial resolution are increased. Experiment results show the proposed algorithm can improve the quality of location-based services and the accuracy of the anonymous areas.

源语言	英语
页（从-至）	68-71+76
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	34
期	1
出版状态	已出版 - 1月 2014
已对外发布	是

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引用此

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abstract = "Through optimizing the degree of anonymity and accuracy of location-based on services of the Casper model, a similar quadtree based location K-anonymity algorithm is proposed. The algorithm uses a bottom-up mechanism, and in expanding the scanning area, the grids located around requesting user's grid are first scanned, then the level and spatial resolution are increased. Experiment results show the proposed algorithm can improve the quality of location-based services and the accuracy of the anonymous areas.",

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AB - Through optimizing the degree of anonymity and accuracy of location-based on services of the Casper model, a similar quadtree based location K-anonymity algorithm is proposed. The algorithm uses a bottom-up mechanism, and in expanding the scanning area, the grids located around requesting user's grid are first scanned, then the level and spatial resolution are increased. Experiment results show the proposed algorithm can improve the quality of location-based services and the accuracy of the anonymous areas.

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KW - Optimized Casper

KW - Similar quadtree

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A similar quadtree based on location K-anonymity algorithm

摘要

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