Session
Detecting the Undetectable: A Heuristic-Based ML Framework for Trojan Malware
This talk presents a machine learning framework for detecting Trojan malware on Windows systems, comparing static, dynamic, and heuristic-based detection techniques. Based on my master’s research, I explore how combining these approaches can significantly improve threat detection accuracy.
Darlington Okeke
Cybersecurity Researcher | CEH | CPT | MSc Cyber Security | AI for Threat Detection
Cheltenham, United Kingdom
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