Name
Title | ||
|---|---|---|
LiPSG: Lightweight Privacy-Preserving Q-Learning-Based Energy Management for the IoT-Enabled Smart Grid. |
Abstract | ||
|---|---|---|
As the largest Internet-of-Things (IoT) deployment in the world, the smart grid implements extremely reduction in the energy dissipation for the operation of the smart city. However, the electricity data produced by the smart grid contain massive sensitive information, such as dispatching instructions and bills. The data are always revealed to cloud servers in the plaintext format for the Q -learn... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JIOT.2020.2968631 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Smart grids,Protocols,Servers,Security,Computational modeling,Internet of Things,Energy management | Journal | 7 |
Issue | ISSN | Citations |
5 | 2327-4662 | 3 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuzhu Wang | 1 | 10 | 3.17 |
| Yang Liu | 2 | 3 | 0.72 |
| Zhuo Ma | 3 | 23 | 5.12 |
| Ximeng Liu | 4 | 135 | 31.84 |
| Jianfeng Ma | 5 | 1336 | 155.62 |