Leveraging reinforcement learning for an efficient windows registry analysis during cyber incident response
- DOI
- 10.1038/s41598-026-57787-6
- Published
- 2026-06-12
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-57787-6,
title = {Leveraging reinforcement learning for an efficient windows registry analysis during cyber incident response},
author = {Mohamed Chahine Ghanem and Dominik Wojtczak and Elhadj Benkhelifa and Hamza Kheddar and Erivelton G. Nepomuceno and Wanpeng Li},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-57787-6},
url = {https://doi.org/10.1038/s41598-026-57787-6}
}RIS
TY - JOUR TI - Leveraging reinforcement learning for an efficient windows registry analysis during cyber incident response AU - Mohamed Chahine Ghanem AU - Dominik Wojtczak AU - Elhadj Benkhelifa AU - Hamza Kheddar AU - Erivelton G. Nepomuceno AU - Wanpeng Li PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-57787-6 UR - https://doi.org/10.1038/s41598-026-57787-6 ER -
APA
Ghanem, M. C., Wojtczak, D., Benkhelifa, E., Kheddar, H., Nepomuceno, E. G., & Li, W. (2026). Leveraging reinforcement learning for an efficient windows registry analysis during cyber incident response. Scientific Reports. https://doi.org/10.1038/s41598-026-57787-6
Source records
- crossref · retrieved 2026-09-25T08:16:11.090Z