Publication
Privacy-Awareness of Distributed Data Clustering Algorithms Revisited
Josenildo Costa da Silva; Matthias Klusch; Stefano Lodi
In: 15th Symposium on Intelligent Data Analysis. International Symposium on Intelligent Data Analysis (IDA-16), October 13-15, Stockholm, Sweden, Springer, 2016.
Abstract
Several privacy measures have been proposed in the privacy preserving data mining literature. However, privacy measures either assume centralized data source or that no insider is going to try to infer some information. This paper presents distributed privacy measures that take into account collusion attacks and point level breaches for distributed data clustering. An analysis of representative distributed data clustering algorithms shows that collusion is main source of breach and that algorithms have different vulnerabilities to collusion groups.