Anomaly detection is a critical line of defense to ensure the network security of industrial
cyber-physical systems. However, a significant issue in the anomaly detection is the …

The rapid advance of the Internet of Things (IoT) has led to the emergence of various
applications, such as smart healthcare, smart transportation, smart grid, and more. However …

Cyberspace intrusions targeting modern industrial cyber-physical systems (ICPSs) are
considered highly persistent and stealthy penetration processes that can result in …

The proliferation of Internet of Things (IoT) devices within the cyber–physical infrastructure
has raised privacy and security concerns. This is because processing large amounts of data …

Despite the recent developments in obstacle avoidance and other safety features,
autonomous Unmanned Aerial Vehicles (UAVs) continue to face safety challenges. No …

The ground-breaking paradigm for enabling universal access to sixth generation (6G) edge
computing-based e-healthcare is artificial intelligence (AI). The goal of this project is to …

The industrial internet of things (IIoT) is related to the fourth industrial revolution and
includes different applications and innovations for the conduction of industrial activities. The …

The out-of-distribution (OOD) detection task assumes samples that follow the distribution of
training data as in-distribution (ID), while samples from other data distributions are …

This paper discusses the deployment of Seasonal Autoregressive, including shifting
common (SARIMA) fashions to expect the reliability of networks. SARIMA is an extension of …

With the rapid development of network technology, network security issues have become
particularly prominent, especially in the context of big data and the Internet plus era …