With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

As the automotive industry has progressed in recent years, in-vehicle networks have also
changed. In contrast to traditional vehicles, modern vehicles communicate through …

Most machine learning proposals in the Internet of Things (IoT) are designed and evaluated
on preprocessed data sets, where data acquisition and cleaning steps are often considered …

With the rapid development of the Internet of Things (IoT) and the Internet of Vehicles (IoV)
technologies, smart vehicles have replaced conventional ones by providing more advanced …

Modern vehicles have significantly increased the number of Internet of Things (IoT) devices
called electronic control units (ECUs) connected by in-vehicle networks to provide enhanced …

Penetration of connected vehicles and crowdsourced mapping applications give rise to
security vulnerabilities in transportation networks. Accurate detection of cyber-attacks on …

Modern vehicles are equipped with Electronic Control Units (ECU) that are used for
controlling important vehicle functions including safety-critical operations. ECUs exchange …

With the fast expansion of the internet of vehicles (IoV) and the emergence of new types of
threats, the traditional machine learning-based intrusion detection systems must be updated …

Intrusion detection systems play a crucial role in ensuring the safety of vehicle driving.
Traditional intrusion detection systems face challenges in efficiently extracting key features …

With the continuous rise of various social media, the security problems caused by
disseminating news in social networks have become increasingly prominent. Among them …