Name
Abstract | ||
|---|---|---|
Data protection algorithms are becoming increasingly important to support modern business needs for facilitating data sharing and data monetization. Anonymization is an important step before data sharing. Several organizations leverage on third parties for storing and managing data. However, third parties are often not trusted to store plaintext personal and sensitive data; data encryption is wide... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CLOUD53861.2021.00015 | 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) |
Keywords | DocType | ISSN |
Differential privacy,Cloud computing,Privacy,Protocols,Publishing,Databases,Data protection | Conference | 2159-6182 |
ISBN | Citations | PageRank |
978-1-6654-0060-2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manish Kesarwani | 1 | 0 | 1.35 |
| Akshar Kaul | 2 | 0 | 2.03 |
| Stefano Braghin | 3 | 38 | 10.43 |
| Naoise Holohan | 4 | 0 | 0.34 |
| Spiros Antonatos | 5 | 0 | 0.34 |