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In this video, we present a complete proposal writing and presentation guide for the topic: 👉 Hybrid Deep Learning and Fuzzy Logic-Based Zero-Day Attack Detection in ERP/Cloud Environment Using XAI This emerging cybersecurity topic combines AI, Deep Learning, Fuzzy Logic, and Explainable AI (XAI) to detect sophisticated zero-day attacks in cloud-based ERP systems. You will learn: ✅ What are Zero-Day Attacks & why they matter ✅ Security challenges in ERP & Cloud infrastructures ✅ Why Hybrid DL + Fuzzy Logic is effective — Handling uncertainty — Improved detection accuracy — Better anomaly scoring — Real-time attack identification ✅ Role of XAI for explainable cybersecurity — SHAP / LIME explanations — Model transparency for administrators — Trust building in enterprise systems ✅ Proposed framework: — Data collection (logs, API signals, ERP traces) — Hybrid DL architecture (CNN + LSTM / Autoencoder) — Fuzzy inference engine — XAI explanation layer ✅ Datasets, tools & evaluation metrics — UNSW-NB15 — CICIDS — CloudSim / ERP synthetic datasets — Accuracy, recall, F1-score, ROC ✅ How to structure proposal slides and present confidently Perfect for students preparing FYP, MS thesis proposals, research papers, or cybersecurity projects. 👉 Zero-Day Attack Detection with Hybrid DL & Fuzzy Logic using XAI | FYP Proposal presentation Guide: • Zero-Day Attack Detection with Hybrid DL &... 👉SEE Also (Related Videos): 👉Liver Tumor Classification | Deep Learning Proposal Guide: • Liver Tumor Classification | Deep Learning... 👉Medical Image Denoising Proposal | Complete Presentation Guide • Medical Image Denoising Proposal | Complet... ✨ Watch the full Research Proposal Presentation playlist here: • Research Proposal Presentations | Complete... 🔹 Subscribe for more: / @qrrwithusman