Graph neural networks (GNNs) have attracted extensive research attention in recent years
due to their capability to progress with graph data and have been widely used in practical …

Intrusion detection systems (IDS) play a crucial role in maintaining network security. With the
increasing sophistication of cyber attack methods, traditional detection approaches are …

In-vehicle network security plays a vital role in ensuring the secure information transfer
between vehicle and Internet. The existing research is still facing great difficulties in …

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

To address the issue that existing wireless sensor network (WSN)-based anomaly detection
methods only consider and analyze temporal features, in this article, a self-supervised …

The emerging physical-layer unclonable attribute-aided authentication (PLUA) schemes are
capable of outperforming traditional isolated approaches, with the advantage of having …

As deep learning technology continues to evolve, the images yielded by generative models
are becoming more and more realistic, triggering people to question the authenticity of …

The controller area network (CAN) remains the de facto standard for intra-vehicular
communication. CAN enables reliable communication between various microcontrollers and …

The Controller Area Network with Flexible Data-Rate (CAN-FD) bus is the predominant in-
vehicle network protocol, responsible for transmitting crucial application semantic signals …

Abstract The Controller Area Network (CAN) is widely used in automobiles to interconnect
safety-critical electronic control units (ECUs). Unfortunately, CAN does not have inherent …