Implementation of Deep Learning Method for Malware Detection using CNN Architecture with Hyperparameter Tuning

Implementation of deep learning methods for malware detection using CNN architecture with hyperparameter tuning is a subsystem used for the evaluation of malware image datasets. Using a dataset consisting of 2 classes, namely malicious and benign. With the aim to analyze image types and parameters that affect model performance before deployment.