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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\u2019s 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.<\/jats:p>","DOI":"10.1142\/s0218126622500839","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T15:50:29Z","timestamp":1634313029000},"source":"Crossref","is-referenced-by-count":13,"title":["A New Privacy Protection Approach Based on K-Anonymity for Location-Based Cloud Services"],"prefix":"10.1142","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8633-5001","authenticated-orcid":false,"given":"Tian","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China"}]},{"given":"Linli","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. 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