Name
Title | ||
|---|---|---|
Privacy-preserving federated k-means for proactive caching in next generation cellular networks |
Abstract | ||
|---|---|---|
Proactive caching is a novel smart communication resource management method that can offer intelligent and economic networking services in the next generation cellular networks. In proactive caching, a common operation is using k-means to estimate content popularity. However, during the process, the base stations have to collect user’s location and content preference information to train a k-means model, which causes user privacy leakage. And current privacy-preserving k-means schemes usually suffer dramatic user quality of experience reduction, and cannot deal with the user dropout condition. Therefore, we propose a privacy-preserving federated k-means scheme (named PFK-means) for proactive caching in the next generation cellular networks. PFK-means is based on two privacy-preserving techniques, federated learning and secret sharing. In PFK-means, a suite of secret sharing protocols are designed to lightweight and efficient federated learning of k-means. These protocols allow privacy-preserving k-means training for proactive caching when there are dropout users. We seriously analyze the security of PFK-means and conduct comprehensive experiments to prove its security, effectiveness and efficiency. Through comparison, we can conclude that PFK-means outperforms other existing related schemes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.02.042 | Information Sciences |
Keywords | DocType | Volume |
Privacy-Preserving,k-Means,Next generation cellular network,Proactive caching,Secret sharing | Journal | 521 |
Issue | ISSN | Citations |
C | 0020-0255 | 1 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Liu | 1 | 1 | 0.37 |
| Zhuo Ma | 2 | 23 | 5.12 |
| Zheng Yan | 3 | 199 | 28.32 |
| Zhuzhu Wang | 4 | 10 | 3.17 |
| Ximeng Liu | 5 | 135 | 31.84 |
| Jianfeng Ma | 6 | 1336 | 155.62 |