Parisa Golabvand

A hybrid graph- and sequence-based deep learning framework for behavioral analysis of metamorphic malware

This paper investigates a unified behavioral analysis framework that combines temporal and structural representations of Windows API call sequences: a sequential view based on learned API n-gram representations and a Bidirectional LSTM (BiLSTM) encoder, a structural view derived from the API transition graph, and a mul...