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Authors: Roberto Andrade 1 ; María Cazares 2 ; Iván Ortiz-Garces 3 and Gustavo Navas 2

Affiliations: 1 Facultad de Ingeniería en Sistemas, Escuela Politécnica Nacional, Quito, Ecuador ; 2 IDEIAGEOCA, Universidad Politécnica Salesiana, Quito, Ecuador ; 3 Facultad de Ingeniería y Ciencias Aplicadas, Universidad de las Américas, Quito, Ecuador

Keyword(s): Cybersecurity, Machine Learning, Cognitive process.

Abstract: Cybersecurity attacks have grown exponentially. At present, cyberattacks have different attack vectors and techniques, generating a high impact on social and commercial worldwide. On the other hand, cybersecurity analysts need to process large amounts of data to detect patterns to make possible proactive security defences strategies. Incident response processes are based on detection tasks developed by a security analyst in the first stages of incident response. This work analyses the cognitive functions performed by cybersecurity analysts in the detection phase and combines big data and machine learning to enhance the detection processes of cyberattacks.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Andrade, R.; Cazares, M.; Ortiz-Garces, I. and Navas, G. (2023). Machine Learning and Big Data for Security Incident Response. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - ISAIC; ISBN 978-989-758-622-4; ISSN 2975-9463, SciTePress, pages 739-744. DOI: 10.5220/0012045700003612

@conference{isaic23,
author={Roberto Andrade. and María Cazares. and Iván Ortiz{-}Garces. and Gustavo Navas.},
title={Machine Learning and Big Data for Security Incident Response},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - ISAIC},
year={2023},
pages={739-744},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012045700003612},
isbn={978-989-758-622-4},
issn={ 2975-9463},
}

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - ISAIC
TI - Machine Learning and Big Data for Security Incident Response
SN - 978-989-758-622-4
IS - 2975-9463
AU - Andrade, R.
AU - Cazares, M.
AU - Ortiz-Garces, I.
AU - Navas, G.
PY - 2023
SP - 739
EP - 744
DO - 10.5220/0012045700003612
PB - SciTePress

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