A New Privacy Protection Approach Based on K-Anonymity for Location-Based Cloud Services

被引：7

作者：

Wang, Tian ^{[1
]}

Xu, Linli ^{[2
]}

Zhang, Mingyue ^{[1
]}

Zhang, Huanhuan ^{[1
]}

Zhang, Gongxuan ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China

来源：

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2022年 / 31卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Cloud services; K-anonymity; location; privacy protection;

D O I：

10.1142/S0218126622500839

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid development of cloud computing and the popularization of mobile equipment, location-based cloud services (LBCS) are widely used, bringing great convenience to human industrial production and daily life. However, since LBCS is a location-based service, how to protect personal privacy when receiving the service is a matter of widespread concern for cloud users. To solve this problem, this paper introduces a new privacy protection method based on K-anonymity, which not only protects the cloud user's query privacy as well as location privacy but also resolves the contradiction between privacy protection and service quality. From the simulation experimental results, we verify the effectiveness of our proposed method.

引用

页数：19

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