Distributed Detection of Malicious Android Apps While Preserving Privacy Using Federated Learning.
- DOI
- 10.3390/s23042198
- Published
- 2023 Feb 15
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/s23042198,
title = {Distributed Detection of Malicious Android Apps While Preserving Privacy Using Federated Learning.},
author = {Lee S},
year = {2023},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s23042198},
url = {https://doi.org/10.3390/s23042198}
}RIS
TY - JOUR TI - Distributed Detection of Malicious Android Apps While Preserving Privacy Using Federated Learning. AU - Lee S PY - 2023 JO - Sensors (Basel, Switzerland) DO - 10.3390/s23042198 UR - https://doi.org/10.3390/s23042198 ER -
APA
S, L. (2023). Distributed Detection of Malicious Android Apps While Preserving Privacy Using Federated Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23042198
Source records
- pubmed · retrieved 2026-09-25T04:46:18.086Z