Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack

With the development of wireless networks and mobile devices, interest on indoor localization systems (ILSs) has increased. In particular, Wi-Fi-based ILSs are widely used because of the good prediction accuracy without additional hardware. However, as the prediction accuracy decreases in environmen...

Descripción completa

Detalles Bibliográficos
Autores principales: Ko, DongHyun, Choi, Seok-Hwan, Ahn, Sungyong, Choi, Yoon-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730504/
https://www.ncbi.nlm.nih.gov/pubmed/33255976
http://dx.doi.org/10.3390/s20236756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730504/
https://www.ncbi.nlm.nih.gov/pubmed/33255976
http://dx.doi.org/10.3390/s20236756

Ejemplares similares