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Robust malicious software detection and classification using global whale optimization algorithm with deep learning approach

The study introduces a GWOANL-SMDC technique that secures software through Android malware recognition. It involves three steps: NCM-based feature selection, ConvLSTM-based classification, and GWOA-based parameter tuning. The NCM model effectively handles complex and uncertain data, while the ConvLSTM model uses it to detect malware behavior over time. The GWOA model is then used to optimize parameters, improving model accuracy. This methodology creates a superior model for malware detection tasks.

Source: www.nature.com –

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