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Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol

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Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 742))

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Abstract

The Internet of Things (IoT) systems rapidly expand and offer a wide range of services in diverse environments. However, due to the vast assortment of these systems, ensuring their security has become an increasingly significant challenge. The rise of malware such as Mirai or Dark Nexus clearly indicates the increasing number of attacks targeting IoT systems. Currently, the Constrained Application Protocol, known as CoAP, is one of the most commonly used protocols in the application layer of IoT networks. However, this protocol is vulnerable to Denial of Service (DoS) attacks. In this context, this research presents a hybrid system, based on supervised classification techniques, for detecting DoS attacks on IoT networks over CoAP protocol. For the validation of the system, a dataset including network traffic in an IoT network that has suffered DoS attacks has been used.

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Acknowledgements

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. Míriam Timiraos’s research was supported by the “Xunta de Galicia” (Regional Government of Galicia) through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04_IN606D_2022_ 2692965.

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).

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Authors and Affiliations

  1. Department of Industrial Engineering, University of A Coruña, CTC, CITIC, Avda. 19 de febrero s/n, 15405, Ferrol, A Coruña, Spain

    Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Óscar Fontenla-Romero & José Luis Calvo-Rolle

  2. Instituto Universitario de Ciencias y Tecnologías Espaciales de Asturias (ICTEA), University of Oviedo, C. Independencia 13, 33004, Oviedo, Spain

    Francisco Javier de Cos Juez

  3. Departamento de Explotación y Prospección de Minas, Universidad de Oviedo, 33004, Oviedo, Spain

    Francisco Javier de Cos Juez

  4. Department of Electrical and Systems Engineering, University of León, Campus de Vegazana S/N C.P., 24071, León, Spain

    Héctor Aláiz Moretón

  5. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Simic

Authors
  1. Álvaro Michelena
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  2. Antonio Díaz-Longueira
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  4. Francisco Javier de Cos Juez
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  7. Óscar Fontenla-Romero
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  8. José Luis Calvo-Rolle
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Corresponding author

Correspondence to Álvaro Michelena .

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Editors and Affiliations

  1. University of A Coruña, A Coruña, Spain

    Esteban Jove

  2. University of A Coruña, A Coruña, Spain

    Francisco Zayas-Gato

  3. University of A Coruña, A Coruña, Spain

    Álvaro Michelena

  4. University of A Coruña, A Coruña, Spain

    José Luis Calvo-Rolle

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Michelena, Á. et al. (2023). Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. In: Jove, E., Zayas-Gato, F., Michelena, Á., Calvo-Rolle, J.L. (eds) Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-031-38616-9_1

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