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IEEE/ICACT20260118 Question.3
Questioner: arjunvirvashisht@gmail.com    2026-02-10 ¿ÀÀü 10:19:42
IEEE/ICACT20260118 Answer.3
Answer by Auhor sudhakar@ccet.ac.in   2026-02-10 ¿ÀÀü 10:19:42
Do you plan to integrate deep learning models like BiLSTM into your two-stage architecture in the future? In the current work, future extensions are framed around adding dynamic behavioral properties, testing on live malware traffic, and evaluating robustness to adversarial and zero‑day samples, but integrating deep models like BiLSTM into the two-stage RF–XGBoost–Isolation Forest stack is not explicitly listed as planned future work. We plan to extend the two-stage RF–XGBoost–Isolation Forest framework by integrating deep learning models such as BiLSTM to capture sequential behavioral patterns in malware and further improve detection performance.

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