Name
Abstract | ||
|---|---|---|
Energy-efficient data collection and privacy-preserving data recovery have received much attention recently. We propose the first encryption framework for the computation-intensive basis pursuit problem to be securely solved in the cloud with the data being efficiently collected using compressive sensing. We provide security and efficiency analyses to show the effectiveness of our method. Simulations and comparison with state-of-the-art are also conducted. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | Basis pursuit, compressive sensing, convex optimization, encryption, security |
Field | DocType | Citations |
Data mining,Data collection,Polynomial,Computer security,Computer science,Basis pursuit,Encryption,Data recovery,Compressed sensing,Cloud computing | Conference | 1 |
PageRank | References | Authors |
0.35 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsung-Hsuan Hung | 1 | 1 | 0.35 |
| Sung-Hsien Hsieh | 2 | 48 | 13.71 |
| Chun-shien Lu | 3 | 1238 | 104.71 |