RT info:eu-repo/semantics/article
T1 Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
A1 Alaiz Moretón, Héctor
A1 Aveleira Mata, José Antonio
A1 Ondicol García, Jorge
A1 Muñoz Castañeda, Ángel Luis
A1 García Rodríguez, Isaías
A1 Benavides Cuéllar, María del Carmen
A2 Ingenieria de Sistemas y Automatica
K1 Cibernética
K1 Informática
K1 Telecomunicaciones
K1 Ciberseguridad
K1 Dataset ataques tráfico MQTT
K1 IoT
K1 Inteligencia Artificial
K1 3325 Tecnología de las Telecomunicaciones
K1 33 Ciencias Tecnológicas
AB [EN]The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems (IDS) are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems (IDS) can be improved through machine learning techniques. Our work focuses on creating classification models that can feed an IDS using a dataset containing frames under attacks of an IoT system that uses the MQTT protocol. We have addressed two types of method for classifying the attacks, ensemble methods and deep learning models, more specifically recurrent networks with very satisfactory results.
PB Hindawi
SN 1076-2787
LK https://hdl.handle.net/10612/18243
UL https://hdl.handle.net/10612/18243
NO Alaiz-Moreton, H., Aveleira-Mata, J., Ondicol-Garcia, J., Muñoz-Castañeda, A. L., García, I., & Benavides, C. (2019). Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol. Complexity, 2019. https://doi.org/10.1155/2019/6516253
NO Dataset asociado: https://figshare.com/s/2036c5c56ce6a3fc1191
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 19-may-2024