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Maximum Influential Location Selection With Differentially Private User Locations
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DOI：10.1109/ACCESS.2020.2990706.png)
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摘要
En 中文
The widespread use of mobile devices and social network services has made optimal location queries an important research topic. Previous studies have focused on the problem of maximum influential (Max-inf) location selection, that is, finding a location that can attract as many clients as possible. The location information of each client should be collected to process such a query. However, client location is considered sensitive information. Therefore, a privacy protection technique should be applied to Max-inf problems. Motivated by this, we propose a Max-inf problem query-processing technique with differentially private client location information. Furthermore, we present a Voronoi region-based technique to guarantee query accuracy and a Voronoi envelope-based pruning heuristic to improve query performance.
Keyword:
Differential privacy
maximum influential location selection problem
optimal location selection query
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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