CoEIA Publishes Research on Intrusion Detection for the Internet of Vehicles
CoEIA published a paper on an intrusion detection system for the Internet of Vehicles that extracts rules from deep learning models to identify attack traffic.
The Center of Excellence in Information Assurance (CoEIA) at King Saud University published a paper on an intrusion detection system (IDS) for the Internet of Vehicles.
The system extracts rules from deep learning models to distinguish normal traffic from traffic generated by cyberattacks.
Read the paper: IEEE Xplore
