ÐMicroaggregation is a statistical disclosure control technique for microdata disseminated in statistical databases. Raw microdata (i.e., individual records or data vectors) are grouped into small aggregates prior to publication. Each aggregate should contain at least k data vectors to prevent disclosure of individual information, where k is a constant value preset by the data protector. No exa...

Microaggregation for Statistical Disclosure Control (SDC) is a family of methods to protect microdata from individual identification. SDC seeks to protect microdata in such a way that can be published and mined without providing any private information that can be linked to specific individuals. The aim of SDC is to modify the original microdata in such a way that the modified data and the orig...

Article history: Received 20 April 2009 Received in revised form 25 February 2010 Accepted 10 April 2010

Abstract The introduction of advanced metering infrastructure (AMI) smart meters has given rise to fine-grained electricity usage data at different levels time granularity. AMI collects high-frequency daily energy consumption that enables utility companies and aggregators perform a rich set grid operations such as demand response, monitoring, load forecasting many more. However, the privacy con...

In this work we describe a microdata protection method based on the use of fuzzy clustering and, more specifically, using fuzzy c-means. Microaggregation is a well-known masking method for microdata protection used by National Statistical Offices. Given a set of objects described in terms of a set of variables, this method consists on building a partition of the objects and then replace the ori...