Securing Smart Grid In-Network Aggregation through False Data Detection
Existing prevention-based secure in-network data aggregation schemes for the smart grids cannot eectively detect accidental errors and falsified data injected by malfunctioning or compromised meters. In this work, we develop a light-weight anomaly detector based on kernel density estimator to locate...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2017-02-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.1-2-2017.152156 |