@phdthesis{martinezbolivar:tel-03196484,
TITLE = {Jamming on LoRaWAN Networks : from modelling to detection},
AUTHOR = {Martinez Bolivar, Ivan Marino},
URL = {https://theses.hal.science/tel-03196484},
SCHOOL = {Institut National des Sciences Appliqu{\'e}es de Rennes},
YEAR = {2021},
MONTH = Jan, KEYWORDS = {Internet of Things ; LoRaWAN ; LoRaWAN sensor network ; Intrusion Detection Systems ; Network Security ; Long range radio technology ; Low-powered electronics ; EWMA ; Machine Learning ; IdO (Internet des Objets) ; Brouillage {\'e}lectromagn{\'e}tique ; Syst{\`e}mes de d{\'e}tection d'intrusion ; Simulation des r{\'e}seaux ; Apprentissage automatique ; Mod{\`e}les math{\'e}matiques Mod{\'e}lisation ; LPWAN ; Apprentissage Automatique ; Recurrent Neural Networks (RNN)},
TYPE = {Theses},
PDF = {https://theses.hal.science/tel-03196484/file/Ivan_PhD_Thesis.pdf},
HAL_ID = {tel-03196484},
HAL_VERSION = {v1},
}