Advances, Systems and Applications
Table 4 Comparative analysis of RDAER vs. other clustering techniques
From: An integrated SDN framework for early detection of DDoS attacks in cloud computing
Authors | Clustering algorithm | Acc | Limitations |
|---|---|---|---|
M Aamir et al. [30] | AC and (PCA + Means) | 96.66 | Detection is done on the CICIDS2017 dataset |
C. Ates et al. [10] | fuzzy clustering | 98.7 | Cannot identify novel attacks |
Y. Gu et al. [43] | Supervised K-means + HFS | 96.5 | The novel dataset is not used and accuracy is also much less |
Jasim et al. [44] | K-means | 79.60 | Accuracy is very low |
RDAER Proposed | DBSCAN | 99.92 | Training and testing data can be further tuned to improve the accuracy |