Advances, Systems and Applications
From: An integrated SDN framework for early detection of DDoS attacks in cloud computing
Author | Model | Feature selection | Clustering | Classification | Event Correlation | Accuracy |
---|---|---|---|---|---|---|
Ramin Fadaei Fouladi [20] | ARIMA Time series | ✓ |  ×  | ✓ |  ×  | 98.82 |
Karthick et al. [21] | S2RF2S and SxB2IN2 | ✓ |  ×  | ✓ |  ×  | 90% |
Alubaidan et al. [22] | Random Forest | ✓ |  ×  | ✓ |  ×  | 99% |
Samaan et al. [23] | Chisquare and Random Forest | ✓ |  ×  | ✓ |  ×  | 93.6% |
Zhou et al. [24] | Optimal Threshold and LSTM | ✓ |  ×  | ✓ |  ×  | 93.30% |
Mohammad Najafimehr [25] | DBSCAN + ML |  ×  | ✓ | ✓ |  ×  | -198% more effective |
Phuc Trinh Dinh [26] | Multivariate time series + RNN |  ×  |  ×  | ✓ |  ×  | 96.99 |
Peng [27] | KNN |  ×  |  ×  | ✓ |  ×  | 98.51 |
Saurez [28] | Deep packet inspection + ML |  ×  |  ×  | ✓ |  ×  | 98 |
Manjunath et.al [29] | Resnet-101 -KELM |  ×  |  ×  | ✓ |  ×  | 96% |
Mohammed Misbah Uddin [30] | Agglomerative + PCA + ML | ✓ | ✓ | ✓ |  ×  | 96.66 |
Mosayeb [31] | RAD |  ×  |  ×  | ✓ | ✓ | 99% recall |
Raja sree [32] | Fuzzy bat clustering |  ×  | ✓ | ✓ | ✓ | 98.7 |
Our Paper | RDAER | ✓ | ✓ | ✓ | ✓ | 99.92% |