Social learning for resilient data fusion against data falsification attacks

BACKGROUND: Internet of Things (IoT) suffers from vulnerable sensor nodes, which are likely to endure data falsification attacks following physical or cyber capture. Moreover, centralized decision-making and data fusion turn decision points into single points of failure, which are likely to be explo...

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Detalles Bibliográficos
Autores principales: Rosas, Fernando, Chen, Kwang-Cheng, Gündüz, Deniz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208803/
https://www.ncbi.nlm.nih.gov/pubmed/30416937
http://dx.doi.org/10.1186/s40649-018-0057-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208803/
https://www.ncbi.nlm.nih.gov/pubmed/30416937
http://dx.doi.org/10.1186/s40649-018-0057-7

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