Scalable Hyper-Grid k-NN-based Online Anomaly Detection in Wireless Sensor Networks

@inproceedings{Xie2012ScalableHK,
  title={Scalable Hyper-Grid k-NN-based Online Anomaly Detection in Wireless Sensor Networks},
  author={Miao Xie and Jiankun Hu and Song Han and Hsiao-Hwa Chen},
  year={2012}
}
Online anomaly detection (AD) is an important technique for monitoring wireless sensor networks (WSNs), which protects WSNs from cyber-attacks and random faults. As a scalable and parameter-free unsupervised AD technique, k-nearest neighbor (kNN) algorithm has attracted a lot of attention for its applications in computer networks and WSNs. However, the nature of lazy-learning makes the kNN-based AD schemes difficult to be used in an online manner, especially when communication cost is… CONTINUE READING
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