Name
Abstract | ||
|---|---|---|
In this paper, we propose a new efficient privacy-preserving outsourced computation framework over public data, called EPOC. EPOC allows a user to outsource the computation of a function over multi-dimensional public data to the cloud while protecting the privacy of the function and its output. Specifically, we introduce three types of EPOC in order to tradeoff different levels of privacy protecti... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSC.2015.2511008 | IEEE Transactions on Services Computing |
Keywords | Field | DocType |
Cloud computing,Encryption,Servers,Privacy,Additives,Public key | Homomorphic encryption,Cryptography,Computer science,Computer network,Encryption,Cryptographic primitive,Cryptosystem,Information privacy,Public-key cryptography,Privacy software,Distributed computing | Journal |
Volume | Issue | ISSN |
10 | 5 | 1939-1374 |
Citations | PageRank | References |
8 | 0.44 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ximeng Liu | 1 | 304 | 52.09 |
| Baodong Qin | 2 | 190 | 19.40 |
| R.H Deng | 3 | 4423 | 362.82 |
| Yingjiu Li | 4 | 1298 | 92.14 |