The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

Abstract Software-Defined Networks (SDN) represent an adaptable paradigm for dealing
with network users' dynamic demands. Confidentiality, integrity, and availability are …

Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

Abstract The rise of Adversarial Machine Learning (AML) attacks is presenting a significant
challenge to Intrusion Detection Systems (IDS) and their ability to detect threats. To address …

Intrusion detection is the core topic of network security, and the intrusion detection algorithm
based on deep learning has become a research hotspot in network security. In this paper, a …

Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …

Industry 5.0 is a emerging transformative model that aims to develop a hyperconnected,
automated, and data-driven industrial ecosystem. This digital transformation will boost …

Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …

Vision impairment is a major challenge faced by humanity on a large scale throughout the
world. Affected people find independently navigating and detecting obstacles extremely …

Intrusion detection technology can actively detect abnormal behaviors in the network and is
important to the security of Industrial Internet of Things (IIOT). However, there are some …