Filtering Compromised Environment Sensors Using Autoregressive Hidden Markov Model
We propose a method based on autoregressive hidden Markov models (AR-HMM) for filtering out compromised nodes from a sensor network. We assume that sensors are healthy, self -healing and corrupted whereas each node submits a number of r...
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| Veröffentlicht in: | Polibits |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Instituto Politécnico Nacional
2016
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=402650526002 |
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