Abstract : Utilizing machine learning, our system predicts the presence of viruses/malware in files by analyzing their names. Trained on a diverse dataset, it employs algorithms like Logistic Regression and Random Forest Classifier for prediction. Augmented with cross-validation, the models achieve accurate results, aiding in proactive cybersecurity measures.
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