Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks
Detecting anomalies in data is challenging on resource constrained networks. A hyperEllipsoidal Neighborhood Outlier Factor (ENOF) is proposed. A distributed algorithm using hypersellipsoidal clusters and ENOF scheme is proposed. Capable of identifying local and global anomalies at individual node levels. Achieves superior detection capabilities with minimal communication overhead.
outlier factor anomaly detection hyperellipsoidal model distributed detection sensor networks