Research Article
Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection
Table 6
The quantity of alerts generated by each distinct model.
| Model | Quantity of alerts | False positive rate | False negative rate |
| BERT-LSTM | 1,247 | 13% | 17% | Word2Vec-LSTM | 1,202 | 25% | 31% | GRU | 1,271 | 27% | 29% | CNN | 980 | 16% | 38% | SVM | 2,594 | 62% | 25% |
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