DB-CBIL: A DistilBert-Based Transformer Hybrid Model Using CNN and BiLSTM for Software Vulnerability Detection.
Ahmed BahaaAya El-Rahman KamalHanan FahmyAmr S. GhoneimPublished in: IEEE Access (2024)
Keyphrases
- hybrid model
- artificial neural networks
- software development
- detection method
- back propagation neural network
- support vector machine svm
- object detection
- fuzzy logic
- database
- hybrid models
- software packages
- software systems
- support vector regression
- cellular neural networks
- detection algorithm
- anomaly detection
- computer systems
- support vector machine
- false positives
- long term
- ibm db
- forecasting accuracy
- arima model