Nhut-Thanh Le-Hinh

Disagreement-Aware Multi-View Stacking for Robust Malware Classification

Static malware family classification can use evidence from raw byte content, disassembly, and Portable Executable metadata. Each representation captures different characteristics of a malware sample. We propose a multi-view stacking framework for Microsoft BIG 2015 that represents each sample through seven static featu...