The paper proposes a new metric, named the privacy score, to assess the privacy level of synthetic data.

In this work, they are studying the effect of Covid-19 pandemic on the cyber-attacks.

In this work, he shows the potential of extracting information of forensic value from smartphones through their EM radiation. This work is supported by EU CERBERUS project

In this work, he proposes a causal inference based approach to understand the influence of security control on patching behaviour in the organisations. https://www.acsac.org/2020/program/papers/

This model is published in Springer LNCS Vol. 12466. It's a knowledge representation model, called an ontology-based knowledge map, which can collect knowledge from different sources, store it, and exploit either directly by stakeholders or as an input to the knowledge discovery process (Data Mining). https://doi.org/10.1007/978-3-030-63924-2_14

There are no publicly available datasets that can be used directly for anomaly detection systems applied in SDN networks. The majority of the published studies use non-compatible and outdated datasets, such as the KDD’99 dataset. InSDN is an attack-specific SDN dataset and it is publicly available to the researchers. To the best of our knowledge, our work is one of the first solutions to...

This book is published by Springer International Publishing. In this book, the editors documented their education and research activities with students enrolled in the Master of Science (MSc) in Forensic Computing and Cybercrime Investigation program at University College Dublin, Ireland, who are also from the law enforcement and government community in Canada, Ireland, Germany, The Netherlands,...