State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining

Authors

  • Walter Priesnitz Filho Universidade Federal de Santa Maria Instituto Superior Técnico, Universidade de Lisboa
  • Carlos Nuno da Cruz Ribeiro Instituto Superior Técnico, Universidade de Lisboa

DOI:

https://doi.org/10.7198/geintec.v7i4.1213

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.

Author Biography

Walter Priesnitz Filho, Universidade Federal de Santa Maria Instituto Superior Técnico, Universidade de Lisboa

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Published

2017-12-27

Issue

Section

Engineering and Technology