Classification of Malware Using Deep Learning: A Study
Inakollu Shanmukha Srinu, Deepti Vidyarthi · 2023
Malware, or malicious software, significantly threatens data privacy and system security. This study delves into image-based malware classification, employing deep learning techniques. This research addresses the early stages of the classification of malware using image-based deep learning approaches. Our study emphasizes the exploration of diverse methodologies to enhance malware classification efficiency. We acknowledge image-based classification, with substantial potential for improved accuracy and robustness in malware classification. Additionally, we conduct a comprehensive comparative analysis, contrasting our image-based approach with existing methods. Through rigorous experimentation, we achieve 97.3% accuracy rate, highlighting the effectiveness of our approach. In conclusion, the study aims to contribute to evolving cybersecurity practices by exploring this domain for more precise and efficient malware classification.