FLAP Journal 2026 Journal Article
Detection and Classification of DoS Attacks in Zigbee Networks Using Supervised Learning Algorithms
- Jose Aveleira Mata
- Míriam Timiaos
- María Teresa García-Ordás
- Marta-María Álvarez-Crespo
- Esteban Jove
- Héctor Alaiz-Moretón
The Zigbee protocol, designed for low-power wireless personal area networks, is a key technology for the Internet of Things (IoT). This paper explores detect- ing denial-of-service (DoS) attacks in Zigbee networks through supervised clas- sification methods. A specialized dataset was generated from a simulated Zigbee environment, capturing both normal and malicious traffic. The study evaluates the effectiveness of six supervised classification algorithms, including Logistic