HawkSec: an AI Transformer Solution to Malware Detection in C/C++ Source Codes

The increasing prevalence of sophisticated malware targeting software applications requires robust detection mechanisms, particularly for C/C++ codebases that underpin critical systems. This paper introduces HawkSec, an innovative AI-based model designed to enhance malware detection within C/C++ codes. Using advanced machine learning algorithms and deep neural networks, HawkSec analyzes code patterns and behaviors to identify potential threats with high accuracy of 99.19% and minimal false positives. The model is trained on an extensive dataset that comprises both benign and malicious code samples.