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Creating a LoRaWAN network dataset with normal and DoS attack traffic

Seuna Ekeuh, Axel Matys
(2023)

Files

SEUNA_95002000_2023.pdf
  • Closed access
  • Adobe PDF
  • 2.92 MB

Details

Supervisors
Sadre, Ramin ; Pelsser, Cristel ; Macq, Benoît
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] en cybersécurité, à finalité spécialisée: stratégies en entreprise
Abstract
As the Internet of Things (IoT) continues to flourish, the LoRaWAN protocol has emerged as a pivotal communication solution for efficient connectivity within IoT networks. This research is dedicated to generating a comprehensive collection of datasets tailored specifically to the unique attributes of LoRaWAN networks. These datasets encompass a range of authentic network traffic patterns as well as meticulously crafted Denial-of-Service (DoS) attack scenarios. Through systematic experimentation and simulation, this study rigorously investigates and characterizes discernible behavioral patterns exhibited by both normal and malicious traffic within the LoRaWAN framework. The resulting datasets serves as an invaluable resource for gaining insights into network behavior under diverse conditions. This compilation will play a pivotal role in evaluating intrusion detection strategies and refining security measures that are custom-tailored to the intricacies of LoRaWAN networks.