Predicting vulnerability inducing function versions using node embeddings and graph neural networks

Keyphrases

• Abstract Syntax Tree 80%
• Change History 20%
• Code Changes 40%
• Complete Graph 20%
• Convolutional Neural Network 20%
• Convolutional Neural Network Model 20%
• F1-measure 20%
• Feature Representation 20%
• Graph Neural Network 100%
• GraphSAGE 20%
• High Recall 20%
• Natural Language Text 20%
• Neural Network 20%
• Node Embedding 100%
• Node Graph 100%
• Node-based Approach 20%
• Precision Measure 20%
• Recall Measures 20%
• Recall-precision 20%
• Representation Function 20%
• Software Organizations 20%
• Software Project 40%
• Software Vulnerability 20%
• Source Code 20%
• Source Code Representation 40%
• Structural Information 20%
• Support Vector Machine 20%
• Token 60%
• Token Embedding 20%
• Token Frequency 20%
• Token-based 20%
• Two-graph 20%
• Vulnerability 100%
• Vulnerability Database 20%
• Vulnerability Model 20%
• Vulnerability Prediction 20%
• Wireshark 20%

Computer Science

• Abstract Syntax Tree 100%
• Convolutional Neural Network 50%
• Extracted Information 25%
• Graph Neural Network 100%
• Neural Network 25%
• Neural Network Model 25%
• Node Embedding 100%
• Prediction Model 25%
• Real Vulnerability 25%
• Software Organization 25%
• Software Project 50%
• Software Vulnerability 25%
• Support Vector Machine 25%
• Token Frequency 25%
• Vulnerability Data 25%
• Wireshark 25%