Name
Abstract | ||
|---|---|---|
In this paper, we propose a framework for privacy-preserving outsourced calculation on floating point numbers (POCF). Using POCF, a user can securely outsource the storing and processing of floating point numbers to a cloud server without compromising on the security of the (original) data and the computed results. In particular, we first present privacy-preserving integer processing protocols for... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIFS.2016.2585121 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Cryptography,Cloud computing,Protocols,Servers,Data models,Additives,Privacy | Integer,Cryptographic protocol,Floating point,Computer science,Cryptography,Server,Outsourcing,Artificial intelligence,Information privacy,Distributed computing,Computer vision,Database,Cloud computing | Journal |
Volume | Issue | ISSN |
11 | 11 | 1556-6013 |
Citations | PageRank | References |
16 | 0.57 | 32 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ximeng Liu | 1 | 264 | 12.54 |
| R.H Deng | 2 | 4423 | 362.82 |
| wenxiu ding | 3 | 102 | 6.55 |
| Rongxing Lu | 4 | 5091 | 301.87 |
| Baodong Qin | 5 | 190 | 19.40 |