crossrefAI2025-09-21Cited by 1
Improving Remote Access Trojans Detection: A Comprehensive Approach Using Machine Learning and Hybrid Feature Engineering
AlsharifHasan Mohamad Aburbeian, Manuel Fernández-Veiga, Ahmad Hasasneh
Remote Access Trojans (RATs) pose a serious cybersecurity risk due to their stealthy control over compromised systems. This study presents a detection framework that integrates host, network, and newly engineered behavioral features to enhance the identification of RATs. Two sets…