Optimized ensemble machine learning model for cyberattack classification in industrial IoT
The results indicate that the proposed Stacked Ensemble_2 model provides a scalable, real-time detection mechanism for securing ICS and IoT environments. By proving its effectiveness on unseen data, this model demonstrates a significant advancement over traditional methods, offering enhanced accuracy and efficiency in detecting sophisticated cyber threats in critical infrastructure sectors.
Authors
- Batool Alabdullah
Institutions
- King Faisal University (SA)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/frai.2025.1685376
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Faisal University