The potential of digital twin technology is yet to be fully realised due to its diversity and
untapped potential. Digital twins enable systems' analysis, design, optimisation, and …

Intrusion Detection Systems (IDS) tackle the challenging task of detecting network attacks as
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …

The distributed and heterogeneous connections in the digital twin (DT)-based industrial
Internet of Things (IIoT) are vulnerable to cyber-attacks and malicious activities. This study …

The port sector is evolving, influencing areas such as operations, infrastructure, governance,
technology, partnerships, and commercial strategies. AI can significantly improve the …

Digital twins represent users in the cyber world and interact between users and network
controllers to better manage the mobile network. Due to communications and other resource …

ABSTRACT Intrusion Detection Systems (IDS) tackle the challenging task of detecting
network attacks as fast as possible. As this is getting more complex in modern enterprise …

Along with the growing market of mobile advertising, click farm that leverages large-scale
fake devices to conduct ad fraud is becoming a major threats against mobile advertising …

This study introduces a data poisoning-robust decentralized digital twin (DT)-based cyber
threat detection in industrial Internet of Things (IIoT) networks. We first model the data …