Name
Title | ||
|---|---|---|
A New Privacy Protection Approach Based on K-Anonymity for Location-Based Cloud Services |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1142/S0218126622500839 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | DocType | Volume |
Cloud services, K-anonymity, location, privacy protection | Journal | 31 |
Issue | ISSN | Citations |
05 | 0218-1266 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang Tian | 1 | 17 | 15.16 |
| Linli Xu | 2 | 0 | 1.35 |
| Mingyue Zhang | 3 | 0 | 0.34 |
| Huanhuan Zhang | 4 | 0 | 0.34 |
| Gong-Xuan Zhang | 5 | 65 | 10.13 |