Lightweight Anomaly Detection for Wireless Sensor Networks
Anomaly detection in wireless sensor networks (WSNs) is critical to ensure the quality of senor data, secure monitoring, and reliable detection of interesting and critical events. The main challenge of anomaly detection algorithm in WSNs is identifying anomalies with high accuracy while consuming mi...
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| Main Authors: | Pu Cheng, Minghua Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/653232 |
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