BiTCN_DRSN: An effective software vulnerability detection model based on an improved temporal convolutional network

Keyphrases

• Artificial Intelligence Technology 11%
• Automatic Vulnerability Detection 11%
• Bidirectional Network 11%
• Bidirectional Temporal Convolutional Network 11%
• Challenging Tasks 11%
• Complex Structure 11%
• Deep Learning 11%
• Deep Residual Network 100%
• Detection Model 100%
• Detection Stability 11%
• Feature Learning 11%
• Improved Detection 11%
• Learned Features 11%
• Network Connection 11%
• Network Model 44%
• Network Structure 22%
• Neural Network 11%
• Noise Immunity 11%
• Noise Resistance 11%
• Rapid Development 11%
• Software Vulnerability 11%
• Software Vulnerability Detection 100%
• Source Code 11%
• Source Code Features 22%
• Source Code Vulnerability Detection 11%
• Temporal Convolutional Network 100%
• Time Series Data 11%
• Unidirectional Network 11%
• Vulnerability 22%
• Weak Noise 11%

Computer Science

• Artificial Intelligence 10%
• Complex Structure 10%
• Deep Learning 10%
• Experimental Result 10%
• Network Connection 10%
• Network Structures 20%
• Neural Network Model 10%
• Rapid Development 10%
• Representation Learning 20%
• Software Vulnerability 100%
• Source Codes 40%
• Temporal Convolutional Network 100%
• Time Series Data 10%
• Vulnerability Detection 100%