Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networks

Journal of Cloud Computing

Advances, Systems and Applications

Table 3 Comparison of OAD-EE with state-of-the-art anomaly detection models

Model	Detection Accuracy	Energy Efficiency	Scalability	Latency (ms)
OAD-EE	87%	High	High	9
Isolation Forest [33]	82%	Medium	Medium	18
One-Class SVM [34]	78%	Low	Low	14
Recurrent Neural Networkd (RNN) [35]	87%	Low	Medium	13