Table 5 Comparing false-positive of Deep vs SVM on NSL-KDD Benchmark
From: Anomaly detection optimization using big data and deep learning to reduce false-positive
Methodology | False-positive FP | False negative FN | Accuracy |
|---|---|---|---|
Deep learning (LSTM) | 0.01 | 0.03 | 0.9676 |
SVM | 0.1 | 0.03 | 0.87 |