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Categorization of CoAP DoS Attack Based on One-Class Boundary Methods

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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) (SOCO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 749))

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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 boundary methods such as Approximate Convex Hull, K-Nearest Neighborhood and One-Class Support Vector Machine 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).

This work is partially supported by Universidad de León, under the “Programa Propio de Investigación de la Universidad de León 2021” grant.

Author information

Authors and Affiliations

  1. University of A Coruña, CTC, CITIC, Department of Industrial Engineering, Calle Mendizábal s/n, 15403, Ferrol, A Coruña, Spain

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

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

    Míriam Timiraos

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

    Jose Aveleira-Mata & Héctor Alaiz-MoretÓn

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

    Isaías García-Rodiguez & Martín Bayón-Gutiérrez

Authors
  1. Míriam Timiraos
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  2. Álvaro Michelena
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  3. Antonio Díaz-Longueira
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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. Martín Bayón-Gutiérrez
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  8. Héctor Alaiz-MoretÓn
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  9. José Luis Calvo-Rolle
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Corresponding author

Correspondence to Míriam Timiraos .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. School of Industrial, Computer, University of Leon, León, Spain

    Hilde Pérez García

  3. Department of Mechanical Engineering, University of La Rioja, Logroño, Spain

    Francisco Javier Martínez de Pisón

  4. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. Applied Computational Intelligence, University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    José Luis Calvo Rolle

  8. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  9. Faculty of Science, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Timiraos, M. et al. (2023). Categorization of CoAP DoS Attack Based on One-Class Boundary Methods. In: García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). SOCO 2023. Lecture Notes in Networks and Systems, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-031-42529-5_11

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