Vulnerability Time Series Forecasting: A Comparative Study of Hierarchical and Non-Hierarchical Approaches

Vulnerability Time Series Forecasting: A Comparative Study of Hierarchical and Non-Hierarchical Approaches

Cybersecurity has become an increasing priority in large organizations due to the rapid evolution of digital threats. With increasingly sophisticated attacks, vulnerability management emerges as one of the main strategies to protect systems and data. However, the complexity and dynamics of threats m...

Full description

Saved in:
Bibliographic Details
Main Authors: Juscimara G. Avelino, Bruna A. O. Brito, Thiago T. de Oliveira, Jean M. M. de Lima, Andre M. Gurgel, Ramon S. Malaquias, Itamir de M. B. Filho
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cybersecurity
machine learning
hierarchical time series
vulnerability forecasting
Online Access:https://ieeexplore.ieee.org/document/10945367/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10945367/

Similar Items