It is not uncommon in the data anonymization literature to oppose the “old” k k-anonymity
model to the “new” differential privacy model, which offers more robust privacy guarantees …

Microaggregation is a technique for disclosure limitation aimed at protecting the privacy of
data subjects in microdata releases. It has been used as an alternative to generalization and …

The current social and economic context increasingly demands open data to improve
scientific research and decision making. However, when published data refer to individual …

Artificial intelligence (AI) is being deployed in missions that are increasingly critical for
human life. To build trust in AI and avoid an algorithm-based authoritarian society …

In this paper, we propose a method of detecting and classifying web application attacks. In
contrast to current signature-based security methods, our solution is an ontology based …

In order to provide open access to data of public interest, it is often necessary to perform
several data curation processes. In some cases, such as biological databases, curation …

Being able to release and exploit open data gathered in information systems is crucial for
researchers, enterprises and the overall society. Yet, these data must be anonymized before …

Recent advances in wireless sensor networks for ubiquitous health and activity monitoring
systems have triggered the possibility of addressing human needs in smart environments …

Anonymization for privacy-preserving data publishing, also known as statistical disclosure
control (SDC), can be viewed under the lens of the permutation model. According to this …

Personal data are of great interest for research but, at the same time, they pose a serious
privacy risk. Therefore, appropriate data protection measures should be undertaken by the …