An interpretable memory forensics framework for unknown attack identification in power grid edge devices
- DOI
- 10.1038/s41598-026-58890-4
- Published
- 2026-06-29
- 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/s41598-026-58890-4,
title = {An interpretable memory forensics framework for unknown attack identification in power grid edge devices},
author = {Biao Liang and Yongxing Lai and Yongming Chen and Wanling Zhao and Mingjie Xu and Ge Jin},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-58890-4},
url = {https://doi.org/10.1038/s41598-026-58890-4}
}RIS
TY - JOUR TI - An interpretable memory forensics framework for unknown attack identification in power grid edge devices AU - Biao Liang AU - Yongxing Lai AU - Yongming Chen AU - Wanling Zhao AU - Mingjie Xu AU - Ge Jin PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-58890-4 UR - https://doi.org/10.1038/s41598-026-58890-4 ER -
APA
Liang, B., Lai, Y., Chen, Y., Zhao, W., Xu, M., & Jin, G. (2026). An interpretable memory forensics framework for unknown attack identification in power grid edge devices. Scientific Reports. https://doi.org/10.1038/s41598-026-58890-4
Source records
- crossref · retrieved 2026-09-25T20:27:16.265Z