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One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

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Hybrid Artificial Intelligent Systems (HAIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14001))

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Abstract

Denial of Service (DoS) attack over Internet of Things (IoT) is among the most prevalent cyber threat, their complex behavior makes very expensive the use of Datagram Transport Layer Security (DTLS) for securing purposes. DoS attack exploits specific protocol features, causing disruptions and remaining undetected by legitimate components. This paper introduces a set of one-class reconstruction methods such as auto-encoder, K-Means and PCA (Principal Component Analysis) for developing a categorization model in order to prevent IoT DoS attacks over the CoAP (Constrained Application Protocol) environments.

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Acknowledgments

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 Ph.D. (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, CTC, CITIC, University of A Coruña, Calle Mendizábal s/n, 15403, Ferrol, A Coruña, Spain

    Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Esteban Jove & José Luis Calvo-Rolle

  2. Department of Water Technologies, National Technological Center, Fundación Instituto Tecnológico de Galicia, Cantón Grande 9, Planta 3, 15003, A Coruña, Spain

    Míriam Timiraos

  3. Research Institute of Applied Sciences in Cybersecurity (RIASC), MIC, University of León, Campus de Vegazana, s/n, 24071, León, Spain

    Jose Aveleira-Mata & Héctor Alaiz-Moretón

  4. Department of Electrical and Systems Engineering, University of León, Campus de Vegazana, s/n, 24071, León, Spain

    Isaías García-Rodiguez & María Teresa García-Ordás

Authors
  1. Álvaro Michelena
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  2. Antonio Díaz-Longueira
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  3. Míriam Timiraos
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  4. Esteban Jove
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  5. Jose Aveleira-Mata
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  6. Isaías García-Rodiguez
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  7. María Teresa García-Ordás
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  8. José Luis Calvo-Rolle
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  9. Héctor Alaiz-Moretón
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Corresponding author

Correspondence to Esteban Jove .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of Leon, León, Spain

    Hilde Pérez García

  3. University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  4. Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. University of A Coruña, Ferrol - Coruña, Spain

    José Luis Calvo Rolle

  8. University of A Coruña, Ferrol - Coruña, Spain

    Héctor Quintián

  9. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Michelena, Á. et al. (2023). One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_1

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  • DOI: https://doi.org/10.1007/978-3-031-40725-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40724-6

  • Online ISBN: 978-3-031-40725-3

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