首页|Study Results from School of Computer Science Update Understanding of Machine Le arning (Dynamic Malware Classification and Api Categorisation of Windows Portabl e Executable Files Using Machine Learning)
Study Results from School of Computer Science Update Understanding of Machine Le arning (Dynamic Malware Classification and Api Categorisation of Windows Portabl e Executable Files Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating from Galway, Ireland, by New sRx correspondents, research stated, "The rise of malware attacks presents a sig nificant cyber-security challenge, with advanced techniques and offline command- and-control (C2) servers causing disruptions and financial losses. This paper pr oposes a methodology for dynamic malware analysis and classification using a mal ware Portable Executable (PE) file from the MalwareBazaar repository." Financial support for this research came from School of Computer Science, Univer sity of Galway, Ireland.
GalwayIrelandEuropeCybersecurityCyborgsEmerging TechnologiesMachine LearningSchool of Computer Science
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