Author

Fabio Di Troia

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Open access Sep 2026

Integrating Opcode N-Grams and Word Embeddings for Enhanced Malware Classification: A Comparative Study with Transformer-Based Representations

This work proposes a comparative framework for malware classification that evaluates the synergy between traditional feature engineering and modern deep learning architectures. Our methodology follows two primary paths: first, we integrate opcode n-grams with word-embedding techniques (Word2Vec, Doc2Vec, and FastText)...

Siddhita Joshi, Sonya Hu, Fabio Di Troia · Electronics · 0 citations

Preprint Aug 2026

Image-Based Techniques and Ensemble Soft Voting for Malware Classification

In this chapter, we investigate image-based malware family classification using an ensemble learning framework and a soft voting strategy. We consider malware binaries that have been converted into images using eight distinct conversion strategies. Three complementary feature extraction tracks are applied to these imag...

S. Lokhande, Fabio Di Troia, Martin Jurecek et al. · 0 citations