Browsing School of Mathematical & Computational Sciences by Subject "Malware (Computer software)"

Now showing items 1-1 of 1

Malware detection using random forest method trained on a balanced synthetic dataset

Matsobane, Neo Onica (2024)

Malicious software (malware) poses a significant threat to the security and integrity of computer systems. Traditional malware detection approaches often encounter challenges due to small-scale and imbalanced datasets, ...