Anomaly Detection in Automated Vehicles Using Multistage Attention-based Convolutional Neural Network

Keyphrases

• Attention-based 100%
• Convolutional Neural Network 100%
• Automated Vehicles 100%
• Anomaly Detection 100%
• Cross-attention 100%
• Anomaly Patterns 50%
• Neural Network Method 50%
• Detecting Anomalies 33%
• Connected Vehicles 33%
• Experiment Results 16%
• High Magnitude 16%
• Memory-based 16%
• Low-magnitude 16%
• Data Transfer 16%
• Benchmarking Method 16%
• State-of-the-art Techniques 16%
• Long Short-term Memory 16%
• Detection Rate 16%
• Cyber-attacks 16%
• Attention Mechanism 16%
• Smart World 16%
• Multi-source 16%
• Predicted Probability 16%
• Anomaly Detection System 16%
• Sensor-generated Data 16%
• Automated Benchmarks 16%
• Performance Gains 16%
• Time Transfer 16%
• Multiple Classifiers 16%

Computer Science

• Convolutional Neural Network 100%
• Attention-Based Convolutional Neural Network 100%
• Anomaly Detection 100%
• F-Score 40%
• Data Stream 20%
• Long Short-Term Memory Network 20%
• Detection Method 20%
• Attention (Machine Learning) 20%
• Detection Rate 20%
• Cyber Attack 20%
• multiple classifier 20%
• Detecting Anomaly 20%
• Predicted Probability 20%
• Detect Anomaly 20%
• Performance Gain 20%
• Multi-Source 20%