RT info:eu-repo/semantics/article
T1 A novel intelligent approach for            man‐in‐the‐middle            attacks detection over internet of things environments based on message queuing telemetry transport
A1 Michelena, Álvaro
A1 Aveleira Mata, José Antonio
A1 Jove, Esteban
A1 Bayón-Gutiérrez, Martín
A1 Novais, Paulo
A1 Romero, Oscar Fontenla
A1 Calvo‐Rolle, José Luis
A1 Alaiz Moretón, Héctor
A2 Ingenieria de Sistemas y Automatica
K1 Ingeniería de sistemas
K1 Artificial neural networks
K1 Cybersecurity
K1 Decision trees
K1 Intrusion detection system
K1 K-nearest-neighbours
K1 Man-in-the-middle
K1 Message queuing telemetry transport
K1 Principal component analysis
K1 Random forest
AB [EN] One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems take advantage of special features of the protocols and cause system disruptions, making them invisible to legitimate elements. In this work, an intrusion detection system (IDS), where intelligent models can be deployed, is the approach to detect this type of attack considering network alterations. Therefore, this paper presents a novel method to develop the intelligent model used by the IDS, being this method based on a hybrid process. The first stage of the process implements a feature extraction method, while the second one applies different supervised classification techniques, both over a message queuing telemetry transport (MQTT) dataset compiled by authors in previous works. The contribution shows excellent performance for any compared classification methods. Likewise, the best results are obtained using the method with the highest computational cost. Thanks to this, a functional IDS will be able to prevent MQTT attacks.
PB Wiley-Blackwell
SN 0266-4720
LK http://hdl.handle.net/10612/16164
UL http://hdl.handle.net/10612/16164
NO Michelena, Á., Aveleira-Mata, J., Jove, E., Bayón-Gutiérrez, M., Novais, P., Romero, O. F., Calvo-Rolle, J. L., & Aláiz-Moretón, H. (2023). A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport. Expert Systems. https://doi.org/10.1111/exsy.13263
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 25-abr-2024