dc.contributor | Escuela de Ingenierias Industrial, Informática y Aeroespacial | es_ES |
dc.contributor.author | Michelena, Álvaro | |
dc.contributor.author | Aveleira Mata, José Antonio | |
dc.contributor.author | Jove, Esteban | |
dc.contributor.author | Bayón Gutiérrez, Martín | |
dc.contributor.author | Novais, Paulo | |
dc.contributor.author | Romero, Oscar Fontenla | |
dc.contributor.author | Calvo‐Rolle, José Luis | |
dc.contributor.author | Alaiz Moretón, Héctor | |
dc.contributor.other | Ingenieria de Sistemas y Automatica | es_ES |
dc.date | 2023 | |
dc.date.accessioned | 2023-04-25T10:44:19Z | |
dc.date.available | 2023-04-25T10:44:19Z | |
dc.identifier.citation | 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 | es_ES |
dc.identifier.issn | 0266-4720 | |
dc.identifier.uri | http://hdl.handle.net/10612/16164 | |
dc.description.abstract | [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. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Wiley-Blackwell | es_ES |
dc.rights | Atribución-NoComercial 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.subject | Ingeniería de sistemas | es_ES |
dc.subject.other | Artificial neural networks | es_ES |
dc.subject.other | Cybersecurity | es_ES |
dc.subject.other | Decision trees | es_ES |
dc.subject.other | Intrusion detection system | es_ES |
dc.subject.other | K-nearest-neighbours | es_ES |
dc.subject.other | Man-in-the-middle | es_ES |
dc.subject.other | Message queuing telemetry transport | es_ES |
dc.subject.other | Principal component analysis | es_ES |
dc.subject.other | Random forest | es_ES |
dc.title | A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.1111/exsy.13263 | |
dc.description.peerreviewed | SI | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Universidad de León/2021/00145/001 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1468-0394 | |
dc.journal.title | Expert Systems | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.project | Publicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCLE | es_ES |