CS/DS Candidate Research Talk – Dr. Diogo Oliveira
Title : Memory-Feature Forensic Analysis for Malware Detection Using Machine Learning and Sensitivity Analysis
Abstract:
Malware detection techniques are critical in the modern cyber-warfare, and performable and accurate solutions are essential. The currently deployed traditional methods may not be efficient against most malware-obfuscation techniques. Therefore, recent studies have analyzed pattern-based methods, specifically using machine learning. However, such studies do not conduct an in-depth thorough investigation of live memory features for pattern recognition. As a result, this study presents a novel obfuscated-malware detection framework using machine learning combined with hyper parameter definition and sensitivity analysis seeking performance and accuracy improvement.
Location : HNS 167/168 Feb 13th 4:00 PM