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A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
dc.contributor.author | Michelena, Álvaro | |
dc.contributor.author | Aveleira Mata, Jose Antonio | |
dc.contributor.author | Jove, Esteban | |
dc.contributor.author | Bayón Gutiérrez, Martín | |
dc.contributor.author | Novais, Paulo | |
dc.contributor.author | Fontenla-Romero, Óscar | |
dc.contributor.author | Calvo-Rolle, José Luis | |
dc.contributor.author | Alaiz Moretón, Héctor | |
dc.date.accessioned | 2024-04-30T18:30:58Z | |
dc.date.available | 2024-04-30T18:30:58Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Michelena, A., Aveleira‐Mata, J., Jove, E., Bayón‐Gutiérrez, M., Novais, P., Romero, O. F., ... & Aláiz‐Moretón, H. (2024). A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport. Expert Systems, 41(2), e13263. https://doi.org/10.1111/exsy.13263 | es_ES |
dc.identifier.issn | 0266-4720 | |
dc.identifier.issn | 1468-0394 | |
dc.identifier.uri | http://hdl.handle.net/2183/36388 | |
dc.description.abstract | [Abstract]: 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.description.sponsorship | Spanish National Cybersecurity Institute (INCIBE) and developed Research Institute of Applied Sciences in Cybersecurity (RIASC). CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01). Álvaro Michelena's research was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference FPU21/00932. Martín Bayón's research was supported by Universidad de León, under the “Programa Propio de Investigación de la Universidad de León 2021” grant. University of Leon. Support for ULE local research projects program. Ref. 2021/00145/001. Internal Code U252. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.relation | info:eu-repo/grantAgreement/MUNI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/FPU21%2F00932/ES | es_ES |
dc.relation.uri | https://doi.org/10.1111/exsy.13263 | es_ES |
dc.rights | Atribución-NoComercial 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject | Artificial neural networks | es_ES |
dc.subject | Cybersecurity | es_ES |
dc.subject | Decision trees | es_ES |
dc.subject | K-nearest-neighbours | es_ES |
dc.subject | Man-in-the-middle | es_ES |
dc.subject | Message queuing telemetry transport | es_ES |
dc.subject | Principal component analysis | es_ES |
dc.subject | 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.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Expert Systems | es_ES |
UDC.volume | 41 | es_ES |
UDC.issue | 2 | es_ES |
UDC.startPage | e13263 | es_ES |
dc.identifier.doi | 10.1111/exsy.13263 |
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