| Título |
Security Incident Classification Applied to Automated Decisions Using Machine Learning |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
10th International Congress on Telematics and Computing, WITCOM 2021 |
| Resumen |
There is an immense number of attacks on the logical infrastructure of an organization. Cybersecurity professionals need tools to help discriminate levels of attacks to design operational plans to prevent, mitigate, and restore without significant damage to an organization’s resources. Machine learning helps build valuable models to identify relevant values of a vulnerability vector attack needed to improve our security plan. The following work presents a framework that uses a machine learning model that classifies the level of an incident detection indicator. © 2021, Springer Nature Switzerland AG. |
| Observaciones |
DOI 10.1007/978-3-030-89586-0_3
Communications in Computer and Information Science |
| Lugar |
Virtual, online |
| País |
Indefinido |
| No. de páginas |
23-34 |
| Vol. / Cap. |
1430 CCIS |
| Inicio |
2021-11-08 |
| Fin |
2021-11-12 |
| ISBN/ISSN |
9783030895853 |
