Location-based Privacy-preserving Techniques in Connected Environment: A Survey

被引：2

作者：

Yan, Yuchen ^{[1
]}

Gai, Keke ^{[1
]}

Jiang, Peng ^{[1
]}

Xu, Lei ^{[1
]}

Zhu, Liehuang ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China

来源：

4TH IEEE INTERNATIONAL CONFERENCE ON SMART CLOUD (SMARTCLOUD 2019) / 3RD INTERNATIONAL SYMPOSIUM ON REINFORCEMENT LEARNING (ISRL 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Privacy-preserving; location-based privacy; query-based privacy; multi-level encryption; GeoHash nearest neighbor querying; PRESERVATION;

D O I：

10.1109/SmartCloud.2019.00036

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the development of networking technologies, the amount of the connected device has been dramatically increasing over the years. Privacy issues gradually have become a widely accepted obstacle that restrict many web-based applications. One of the major concerns in privacy-preserving is to protect individuals' location privacy. This survey investigates location-based privacy protection technologies and gathered a few representative recent studies addressing this issue. An analysis has been given in this survey in order to assess the existing solutions (e.g., advantages and disadvantages) and highlight potential research directions for future explorations.

引用

页码：156 / 162

页数：7

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