p-Probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation

Beyond Multivariate Microaggregation for Large Record Anonymization

Microaggregation is one of the most commonly employed microdata protection methods. The basic idea of microaggregation is to anonymize data by aggregating original records into small groups of at least k elements and, therefore, preserving k-anonymity. Usually, in order to avoid information loss, when records are large, i.e., the number of attributes of the data set is large, this data set is s...

Improving Microaggregation for Complex Record Anonymization

Semantic Microaggregation for the Anonymization of Query Logs

An algorithm for k-anonymous microaggregation and clustering inspired by the design of distortion-optimized quantizers

Article history: Received 27 April 2010 Received in revised form 21 June 2011 Accepted 21 June 2011 Available online 2 July 2011 We present a multidisciplinary solution to the problems of anonymous microaggregation and clustering, illustrated with two applications, namely privacy protection in databases, and private retrieval of location-based information. Our solution is perturbative, is based...

Microaggregation- and Permutation-Based Anonymization of Mobility Data

Movement data, that is, trajectories of mobile objects, are automatically collected in huge quantities by technologies such as GPS, GSM or RFID, among others. Publishing and exploiting such data is essential to improve transportation, to understand the dynamics of the economy in a region, etc. However, there are obvious threats to the privacy of individuals if their trajectories are published i...