Intelligent Prediction of Internet of Vehicles (IoV) Data Security Performance based on GF-Net

Key Points

• The aim is to improve data security performance prediction in the Internet of Vehicles (IoV) context using GF-Net.
• Developed an intelligent prediction model based on GF-Net architecture.
• Evaluated the model's performance on various IoV data sets.
• Applied machine learning techniques to enhance prediction accuracy.
• Achieved significant improvement in prediction accuracy compared to traditional methods.
• Demonstrated effectiveness in anticipating cybersecurity threats across IoV networks.