Volume 7 - Volume 7
STATE OF THE ART OF SECURE MULTIPARTY COMPUTATION FOR PRIVACY PRESERVING DATA MINING
Abstract
In this paper we present the State of the Art in Secure Multiparty Computation Protocols to Privacy
Preserving Data Mining. Basic definitions on the main topics are presented as some proposed protocols
in the reviewed literature. We also briefly discuss the authors contribution under practical
integration perspective and points some issues on using SMC in PPDM.
Paper Details
PaperID: p 4131-4148
Author's Name: Walter Priesnitz Filho and Carlos Ribeiro
Volume: Volume 7
Issues: Volume 7
Keywords: Secure Multiparty Computation, Privacy-preserving Data Minig, Privacy, Information Security.
Year: 2017
Month: December
Pages: 4131-4148