Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN–LSTM model with explainable AI
- DOI
- 10.1038/s41598-026-67450-9
- Published
- 2026-09-02
- 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/s41598-026-67450-9,
title = {Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN–LSTM model with explainable AI},
author = {Ghada Abdelhady and Karim Wael Hussein and Islam Anwar Ali Gad},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-67450-9},
url = {https://doi.org/10.1038/s41598-026-67450-9}
}RIS
TY - JOUR TI - Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN–LSTM model with explainable AI AU - Ghada Abdelhady AU - Karim Wael Hussein AU - Islam Anwar Ali Gad PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-67450-9 UR - https://doi.org/10.1038/s41598-026-67450-9 ER -
APA
Abdelhady, G., Hussein, K. W., & Gad, I. A. A. (2026). Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN–LSTM model with explainable AI. Scientific Reports. https://doi.org/10.1038/s41598-026-67450-9
Source records
- crossref · retrieved 2026-11-07T18:14:01.332Z