Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …

In decentralized systems, the quest for heightened security and integrity within blockchain
networks becomes an issue. This survey investigates anomaly detection techniques in …

Privacy and Homomorphic Encryption are effective ways for securely evaluating network
records by encrypting them with a sophisticated cryptographic algorithm. This method …

Abstract Vertical Federated Learning (VFL, for short) is a category of Federated Learning
that is gaining increasing attention in the context of Artificial Intelligence. According to this …

Abstract The emerging Internet of Things (IoT) landscape is characterized by a high number
of heterogeneous smart devices and services often provided by third parties. Although …

Recently, the Industry 5.0 is gaining attention as a novel paradigm, defining the next
concrete steps toward more and more intelligent, green-aware, and user-centric digital …

With the rapid development of artificial intelligence and a new generation of network
technologies, the Internet of Things (IoT) is expanding worldwide. Malicious agents …

Almost 85% of companies polled said they were looking into anomaly detection (AD)
technologies for their industrial image anomalies. The present problem concerns detecting …

The rise of IT-dependent operations in modern organizations has heightened their
vulnerability to cyberattacks. Organizations are inadvertently enlarging their vulnerability to …

IoT devices have become indispensable components of our lives, and the advancement of
AI technologies will make them even more pervasive, increasing the vulnerability to …