Hybrid semantics-based vulnerability detection incorporating a Temporal Convolutional Network and Self-attention Mechanism

Computer Science

• Automatic Detection 16%
• Convolutional Neural Network 16%
• Deep Learning 16%
• Deep Learning Technique 16%
• Deep Neural Network 16%
• Detection Accuracy 33%
• False Negative 16%
• False Positive Rate 16%
• Feature Fusion 33%
• Recurrent Neural Network 16%
• Self-Attention Mechanism 100%
• Software Vulnerability 50%
• Source Codes 33%
• Temporal Convolutional Network 100%
• Time Efficiency 16%
• Vulnerability Detection 100%

Keyphrases

• Fusion Neural Network 25%
• Network Attention 100%