A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifier
The application of wireless sensor networks (WSN) is increasing with the emergence of the 'Internet of Things' concept. Nonetheless, the sensed data quality and reliability are sometimes affected by factors such as sensor's faults, intrusions and unusual events among others. Consequen...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Inderscience Enterprises Ltd.
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84306/ https://dx.doi.org/10.1504/IJSNET.2018.093126 |
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