The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …

Quantum Federated Learning (QFL) recently becomes a promising approach with the
potential to revolutionize Machine Learning (ML). It merges the established strengths of …

Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …

Federated Learning (FL) has been recently receiving increasing consideration from the
cybersecurity community as a way to collaboratively train deep learning models with …

Abstract Distributed Denial of Service (DDoS) attacks pose a significant threat to network
infrastructures, leading to service disruptions and potential financial losses. In this study, we …

The recent evolution of cloud computing has enabled the cloudification of
Telecommunication (Telecom) network functions. The cloud-based Telecom infrastructure is …

Internet of Things devices are widely employed in various industries, cities, and institutions
as with low-cost investment various benefits can be obtained. The computing power …

The disaster recovery mechanism is employed in various industries but in critical
infrastructure scenarios, the process should be reliable and resilient. This research paper …

A novel Federated learning classifier is proposed using the Dempster-Shafer (DS) theory for
the set-valued classification of industrial IoT Distributed Denial of Service (DDoS) attack …

The heterogeneous Internet of Things (HetIoT) infrastructure is a prime target for attackers,
due to a lack of cybersecurity measures. The HetIoT devices contain various security holes …