Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger.
- DOI
- 10.3390/s26061750
- Published
- 2026 Mar 10
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26061750,
title = {Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger.},
author = {Maghanaki M and Keramati S and Chen FF and Shahin M},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26061750},
url = {https://doi.org/10.3390/s26061750}
}RIS
TY - JOUR TI - Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. AU - Maghanaki M AU - Keramati S AU - Chen FF AU - Shahin M PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26061750 UR - https://doi.org/10.3390/s26061750 ER -
APA
M, M., S, K., FF, C., & M, S. (2026). Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26061750
Source records
- pubmed · retrieved 2026-09-25T18:02:43.845Z