ML Anthology

PANACEA: A Neural Model Ensemble for Cyber-Threat Detection

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
MLJ 2024 pp. 5379-5422
doi:10.1007/S10994-023-06470-2 /mlj/2024/alessa2024mlj-panacea/

Abstract

This study describes a new cyber-threat detection method, named PANACEA, that uses Ensemble Deep Learning coupled with Adversarial Training and XAI, to gain accuracy with neural models trained in cybersecurity problems.

PDF MLJ Semantic Scholar

Cite

Text

Al-Essa et al. "PANACEA: A Neural Model Ensemble for Cyber-Threat Detection." Machine Learning, 2024. doi:10.1007/S10994-023-06470-2

Markdown

[Al-Essa et al. "PANACEA: A Neural Model Ensemble for Cyber-Threat Detection." Machine Learning, 2024.](https://mlanthology.org/mlj/2024/alessa2024mlj-panacea/) doi:10.1007/S10994-023-06470-2

BibTeX

@article{alessa2024mlj-panacea,
  title     = {{PANACEA: A Neural Model Ensemble for Cyber-Threat Detection}},
  author    = {Al-Essa, Malik and Andresini, Giuseppina and Appice, Annalisa and Malerba, Donato},
  journal   = {Machine Learning},
  year      = {2024},
  pages     = {5379-5422},
  doi       = {10.1007/S10994-023-06470-2},
  volume    = {113},
  url       = {https://mlanthology.org/mlj/2024/alessa2024mlj-panacea/}
}