Federated Learning to detect malicious network traffic in IoT environments
Federated Learning allows training machine learning models with decentralized data while preserving its privacy by design. Thus, it appears as an ideal solution to detect attacks to IoT devices without the need of revealing sensitive information.
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/403284 |
| Acceso en línea: | https://hdl.handle.net/2117/403284 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer security Internet of things Federated Learning IoT Cybersecurity Seguretat informàtica Internet de les coses Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica |
| Sumario: | Federated Learning allows training machine learning models with decentralized data while preserving its privacy by design. Thus, it appears as an ideal solution to detect attacks to IoT devices without the need of revealing sensitive information. |
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