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Difficulties and Challenges of Anomaly Detection in Smart Cities: A Laboratory Analysis
Smart cities work with large volumes of data from sensor networks and other sources. To prevent data from being compromised by attacks or errors, smart city IT administrators need to apply attack detection techniques to evaluate possible incidents as quickly as possible. Machine learning has proven...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210066/ https://www.ncbi.nlm.nih.gov/pubmed/30248954 http://dx.doi.org/10.3390/s18103198 |