KuSantosh100/Malware-Detection-Classification-using-DL-and-advacned-Ensemble-learning

The prevalence of IoT devices raises security concerns, as malware attacks can cause data breaches, privacy violations, and system failures. This report proposes a deep learning approach using Convolutional Neural Networks (CNNs) to detect malware in cross-architecture IoT devices. The model achieves 97% accuracy on a diverse IoT malware dataset.

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