Title :
Privacy-preserving data mining: why, how, and when
Author :
Vaidya, Jaideep ; Clifton, Chris
Abstract :
Data mining is under attack from privacy advocates because of a misunderstanding about what it actually is and a valid concern about how it is generally done. This article shows how technology from the security community can change data mining for the better, providing all its benefits while still maintaining privacy.
Keywords :
data mining; data privacy; data mining; privacy; security community can change; Computer security; Data analysis; Data mining; Data privacy; Data security; Electronic design automation and methodology; Information analysis; Information security; Predictive models; Protection; 65; data mining; privacy;
Journal_Title :
Security & Privacy, IEEE
DOI :
10.1109/MSP.2004.108
