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DTSTART;TZID=America/New_York:20250213T160000
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UID:30782-1739462400-1739466000@www.ncf.edu
SUMMARY:CS/DS Candidate Research Talk by Dr. Diogo Oliveira
DESCRIPTION:CS/DS Candidate Research Talk – Dr. Diogo Oliveira\nTitle : Memory-Feature Forensic Analysis for Malware Detection Using Machine Learning and Sensitivity Analysis\nAbstract:\nMalware 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.\nLocation : HNS 167/168 Feb 13th 4:00 PM \n\nZoom : https://ncf.zoom.us/j/4701240023?pwd=TzNHOW12OGNKMHlMVnd6VkdnODBldz09&omn=99434472939
URL:https://www.ncf.edu/event/cs-ds-candidate-research-talk-dr-diogo-oliveira/
CATEGORIES:Public Notices
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