36 search results - page 1 / 8 » Privacy, Preservation and Performance: The 3 P's of Distribu... |
HASE
2008
IEEE
13 years 11 months ago
2008
IEEE
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 2 months ago
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
JCP
2007
13 years 4 months ago
2007
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...