Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …

The use of malware samples is usually required to test cyber security solutions. For that, the
correct typology of the samples is of interest to properly estimate the exhibited performance …

Cyber operations are relatively a new phenomenon of the last two decades. During that
period, they have increased in number, complexity, and agility, while their design and …

There currently exist taxonomies for malware, however malware is only one type of attack.
Malware taxonomies are usually targeted at a specific scenario and are not easily …

Complexity science is an interdisciplinary scientific field that analyzes systems as holistic
entities consisting of characteristics beyond the sum of a system's individual elements. This …

The principal question addressed by this paper is: how adequate are the minimum security
objectives of the European Union Cybersecurity Act (Regulation (EU) 2019/881) in assisting …

Emerging technologies and the globalization require constant investment in people and
their performance in actual and virtual environments. New technologies such as …

Pricing insurance for risks associated with information technology systems presents a
complex modelling challenge, combining the disciplines of operations management …

Cyber Physical Systems (CPS), according to a definition provided by National Science
Foundation (NSF) are hybrid networked cyber and engineered physical elements co …