Скачать или смотреть Zero-Day Attack Detection with Hybrid DL & Fuzzy Logic using XAI | FYP Proposal presentation Guide

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 &...  

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