k-Anonymity in Databases with Timestamped Data

In this paper we extend the notion of k-anonymity in the context of databases with timestamped information in order to naturally define k-anonymous views of temporal data. We also investigate the problem of obtaining these views. We show that known generalization techniques, despite being applicable under certain conditions, have some limitations, and propose a new generalization algorithm based on the hierarchy of time granularities.

• Type: Conference
• Year: 2006
• Where: TIME
• Authors: Sergio Mascetti, Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia
• Keywords: Generalization Techniques, K-anonymous Views, Logical Reasoning, Temporal Data, TIME 2006