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FYP
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This repository has my university FYP.
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#### ** [ Development v1.0 ]** # **Intrusion Detection System (IDS) Using Wireshark and Advanced Ensemble Learning Techniques** [](https://ids.infinitydecoder.com) [](https://github.com/infinity-decoder/FYP) ## **📁 Project Info** <br> Visit `/docs/project_documentation.md` For details. ## **🟢 Assignment files F24PROJECTA686A (BC210427835)** | **Project File** | **Status** | **Details** | |-----------------|------------|------------| | **1️⃣ SRS** | ✅ **Completed** | (Submitied on `08DEC2024`),(Stored at `/docs`). | | **2️⃣ Design Document** | ✅ **Completed** | (Submitied on `03MAR2025`),(Stored at `/docs`). | | **3️⃣ Prototype Phase** | ✅ **Completed** | Submitied on `18MAR2025`. | | **4️⃣ Final Deliverable** | ✅ **Completed** | Submitied on `9MAY2025`. | ## **🟢 Steps Taken for Django webapp** | **Django app Development** | **Status** | **Details** | |-----------------|------------|------------| | **1️⃣ Project** | ✅ **Completed** | (Handled in `webapp/IDS_Project`). | | **2️⃣ webapp** | ✅ **Completed** | (Handled in `webapp/IDS`). | | **3️⃣ Front End** | ✅ **Completed** | structure files (Handled in `webapp/IDS/templates/IDS`) design files (Handled in `webapp/IDS/static/css`). | ## **🟢 Steps Implemented for ML models** | **Prototype Step** | **Status** | **Details** | |-----------------|------------|------------| | **1️⃣ Capture Network Traffic & Convert to CSV** | ✅ **Completed** | Wireshark captures `.pcap` files, which are converted to `.csv` (Handled in `notebooks/pcap_to_csv.ipynb`), (`.pcap`stored at `data/raw`), (`csv` stored at `data/processed`) | | **2️⃣ Data Preprocessing** | ✅ **Completed** | Data cleaning, encoding, and normalization (Handled in `notebooks/data_preparation.ipynb`) | | **3️⃣ Final Dataset Creation** | ✅ **Completed** | Structured dataset with normal/malicious labels stored at **`/FYP/data/datasets/final_dataset.csv`**. | | **4️⃣ Model Training (TabNet, CatBoost, LightGBM, Stacking Ensemble)** | ✅ **Trained (v1.0)** | Each model trained separately (Handled in `notebooks/TabNet.ipynb`, `CatBoost.ipynb`, `LightGBM.ipynb`, `Stacking_ensemble.ipynb`). | | **5️⃣ Model Evaluation (Metrics Calculation & Comparison)** | ✅ **Completed** | Evaluation script implemented (Handled in `notebooks/evaluation_metrics.ipynb`). | ## **📁 Folder Schema** [Project schema](folder_structure.txt)  ### ** Common Git Commands Used ** | Command | Description | |---------|------------| | `git status` | Check repo status (modified, staged, committed files) | | `git add .` | Stage all changes | | `git commit -m "message"` | Commit changes with a message | | `git push origin main` | Push changes to GitHub | | `git pull origin main` | Fetch and merge latest changes from GitHub | | `git log --oneline` | Show commit history | --- <h1 style="font-family: 'poppins'; font-weight: bold; color: Green;">👨💻Author: MAHBOOB ALAM</h1> [](https://github.com/infinity-decoder) [](https://www.kaggle.com/infinitydecoder) [](https://pk.linkedin.com/in/infinitydecoder) [](https://www.facebook.com/me.infinitydecoder) [](https://www.coursera.org/learner/infinitydecoder) [](https://infinitydecoder.com/) [](https://profile.infinitydecoder.com/) [](mailto:bc210427835mal@vu.edu.pk)
