IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture
2020 · Computer Networks · 475 citations
https://doi.org/10.1016/j.comnet.2020.107138
M
Mamoun Alazab
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Mamoun Alazab is an academic researcher from Charles Darwin University. The author has contributed to research in topics: Network Security and Intrusion Detection & Advanced Malware Detection Techniques & Blockchain Technology Applications and Security. The author has an h-index of 86, co-authored 350 publications.
ORCID: 0000-0002-1928-3704Papers by this author
worksAn ensemble machine learning approach through effective feature extraction to classify fake news
2020 · Future Generation Computer Systems · 408 citations
https://doi.org/10.1016/j.future.2020.11.022
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
2020 · Computers & Security · 376 citations
https://doi.org/10.1016/j.cose.2020.101748
Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things
2022 · IEEE Transactions on Industrial Informatics · 281 citations
https://doi.org/10.1109/tii.2022.3158974
Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification
2023 · IEEE Journal of Biomedical and Health Informatics · 194 citations
https://doi.org/10.1109/jbhi.2023.3266614
FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems
2022 · Sensors · 146 citations
https://doi.org/10.3390/s22041377
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