Malware Detection and Classification using ML
Ranveer Deshmukh
Vishwakarma University, Pune, India
Abstrct:
The increasing complexity and volume of malware necessitate advanced detection techniques. This research leverages machine learning models to classify malware into different families and identify new variants. Using a Kaggle dataset, we trained several models, including support vector machines (SVMs) and gradient boosting machines (GBMs). Our findings demonstrate that machine learning can significantly enhance malware detection accuracy. The developed system shows promise in identifying novel malware strains, providing a robust tool for cybersecurity defenses.
Keywords:
Malware, Machine Learning, Classification, Cybersecurity, Detection System
Published on: 06-2024
Journal Name: Science Management Design Journal
Volume: 02
Issue: 02
Pages: 84-92
Month: June
Year: 2024