Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …

The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in
intelligent transportation systems. This research suggests a deep learning model for …

Over the years, vehicles have become increasingly complex and an attractive target for
malicious adversaries. This raised the need for effective and efficient Intrusion Detection …

The data collected by sensors is streaming data in the Internet of Things (IoT). Although
existing deep-learning-based anomaly detection methods generally perform well on static …

Considering the characteristics of complex texture backgrounds, uneven brightness, varying
defect sizes, and multiple defect types of the bearing surface images, a surface defect …

This article investigates the security detection mechanism of intelligent vehicles under DoS
attack. A lightweight CanNet-based attack detection mechanism is developed, which is …

The CAN (Controller Area Network) protocol is widely adopted for in-vehicle networks due to
its cost efficiency and reliable transmission. However, despite its popularity, the protocol …

In recent decades, an exponential surge in technological advancements has significantly
transformed various aspects of daily life. The proliferation of indispensable objects such as …

With the immense growth of the internet, sensitive, confidential, important corporate and
individual data passing through the internet has grown rapidly. Due to the limitation of …

Detecting cyber intrusions in network traffic is a tough task for cybersecurity. Current
methods struggle with the complexity of understanding patterns in network data. To solve …