Abstract: Highlights•IoT devices are built with no focus on security, creating extra attack prospects.•Scarce and imbalance malware dataset makes learning hard for deep learning models.•Raw Malware sequences are read as binaries and converted into one-dimensional images.•Visual and experimental results proved the disparity among files within the dataset.•Proposed HCL-classifier with better precision for malware classification tasks in IoT.
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