Machine learning for automatic assignment of the severity of cybersecurity events-Reference-Cited by-同舟云学术

Machine learning for automatic assignment of the severity of cybersecurity events

Published:2020-01 Issue:1 Volume:2 Page:
ISSN:2577-7408
Container-title:Computational and Mathematical Methods
language:en
Short-container-title:Comp and Math Methods

Author:

DeCastro‐García Noemí¹²^ORCID,Muñoz Castañeda Ángel L.¹²^ORCID,Fernández‐Rodríguez Mario²

Affiliation:

1. Department of MathematicsUniversidad de León León Spain

2. Research Institute of Applied Sciences in CybersecurityUniversidad de León León Spain

Funder

Instituto Nacional de Ciberseguridad

Publisher

Wiley

Subject

Computational Mathematics,Computational Theory and Mathematics,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cmm4.1072

Reference25 articles.

1. Data-Driven Cybersecurity Incident Prediction: A Survey

2. On Detecting and Removing Superficial Redundancy in Vector Databases

3. Ministerio de Interior.Centro Nacional de Protección de Infraestructuras y Ciberseguridad (CNPIC). Guía Nacional de Notificación y Gestión de Ciberincidentes 2019.http://www.cnpic.es/. Accessed July 22 2019.

4. Microsoft.Security update severity rating system.https://www.microsoft.com/en-us/msrc/security-update-severity-rating-system. Accessed July 22 2019.

5. Forum of Incident Response and Security Teams (FIRST).Common vulnerability scoring system.https://www.first.org/cvss/calculator/3.0. Accessed July 22 2019.

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