In this paper, we study the abnormal behaviors detection and the corresponding data
poisoning attacks in digital twin (DT)-based networks. We first analyze the abnormal …

Abstract Cybertwin-enabled 6th Generation (6G) network is envisioned to support artificial
intelligence-native management to meet changing demands of 6G applications. Multi-Agent …

The rapid growth of electric vehicle (EV) penetration has led to more flexible and reliable
vehicle-to-grid-enabled cyber-physical systems (V2G-CPSs). However, the increasing …

Smart grid is considered a cyber-physical system, which is a combination of physical
devices and computational processes. Since there are lots of interactions between the cyber …

The rapid expansion of the Industrial Internet of Things (IIoT) necessitates the digitization of
industrial processes in order to increase network efficiency. The integration of Digital Twin …

Distributed Denial-of-Service (DDoS) attacks pose a serious threat to the stability and
security of edge intelligence devices. To solve this issue, we first describe the cost of edge …

Data management systems in smart grids have to address advanced persistent threats
(APTs), where malware injection methods are performed by the attacker to launch stealthy …

In recent years, the development of Internet of Things (IoT) applications has increased,
resulting in higher demands for sufficient bandwidth, data rates, latency, and quality of …

Nowadays, a large number of intelligent devices involved in the Industrial Internet of Things
(IIoT) environment are posing unprecedented cybersecurity challenges. Due to the limited …

Current cyberspace is confronted with unprecedented security risks, whereas traditional
passive protection techniques are ill-equipped for attacks or defects with unknown features …