Tools for privacy preserving distributed data mining
Download
Author
C Clifton, M Kantarcioglu, J Vaidya, X Lin, M Zhu
Entry type
article
Abstract
Privacy preserving mining of distributed data has numerous applications. Each application poses different constraints: What is meant by privacy, what are the desired results, how is the data distributed, what are the constraints on collaboration and cooperative computing, etc. We suggest that the solution to this is a toolkit of components that can be combined for specific privacy-preserving data mining applications. This paper presents some components of such a toolkit, and shows how they can be used to solve several privacy-preserving data mining problems.
Download
Date
2002
Journal
ACM SIGKDD Explorations Newsletter
Key alpha
Clifton
Number
2
Pages
28-34
Publisher
ACM
Volume
4
Publication Date
2002-01-01