Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering

@article{Lyu2017FogEmpoweredAD,
  title={Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering},
  author={Lingjuan Lyu and Jiong Jin and Sutharshan Rajasegarar and Xuanli He and Marimuthu Palaniswami},
  journal={IEEE Internet of Things Journal},
  year={2017},
  volume={4},
  pages={1174-1184}
}
Anomaly detection is important for time-critical Internet of Things (IoT) applications, such as healthcare and emergency management. The recent introduction of Fog computing architecture provides an efficient platform for delay sensitive IoT applications. Exploiting the advantages of Fog computing for anomaly detection provides the ability to detect… CONTINUE READING