Leveraging Data Mining Approaches For Enhanced Malware Classification And Digital Forensic Investigation

Abstract

The increasing frequency and sophistication of cyberattacks have created the need for advanced techniques to classify and analyze malware. This research proposes a novel data mining-based algorithm for effective malware classification and forensic analysis. The proposed algorithm includes feature extraction, classification, and forensic trace analysis to identify malware patterns and enhance the security infrastructure. We will analyze the algorithm with the experimental results.