Table 4 Comparative Evaluation of the Proposed Framework Against Existing Techniques.
From: Lightweight machine learning framework for efficient DDoS attack detection in IoT networks
Models | Detection Accuracy (%) | Precision (%) | Recall (%) |
|---|---|---|---|
Random Forest | 99.88 | 99.93 | 99.81 |
Logistic Regression | 91.61 | 92.53 | 91.61 |
Naïve Bayes | 87.62 | 83.57 | 89.30 |
FFNN | 98.67 | 98.30 | 99.22 |
LSTM | 96.44 | 95.74 | 97.66 |
RNN | 98.68 | 98.07 | 99.60 |
DCAE | 92.45 | 92.46 | 92.45 |
CNN-GRU-SMA | 98.45 | 98.18 | 99.44 |
