You will get Sentinelnet-pro which is AI DDoS Detection and Autonomous Mitigation engine
Project details
This project delivers a production-style Machine Learning–based DDoS Detection System designed to identify and mitigate malicious network traffic with high accuracy and reliability. The system leverages advanced data preprocessing, feature engineering, and optimized machine learning models to distinguish between normal and attack patterns in real-time or offline datasets.
The solution includes rigorous model training, hyperparameter tuning, and comprehensive performance evaluation using industry-standard metrics such as precision, recall, F1-score, and ROC-AUC. It also incorporates detailed data visualization and analytical reporting to provide clear insights into network behavior and attack patterns.
The final deliverable is a fully structured, deployment-ready project package including clean source code, trained model files, technical documentation, and performance reports—making it suitable for academic research, cybersecurity portfolios, or real-world implementation scenarios.
The solution includes rigorous model training, hyperparameter tuning, and comprehensive performance evaluation using industry-standard metrics such as precision, recall, F1-score, and ROC-AUC. It also incorporates detailed data visualization and analytical reporting to provide clear insights into network behavior and attack patterns.
The final deliverable is a fully structured, deployment-ready project package including clean source code, trained model files, technical documentation, and performance reports—making it suitable for academic research, cybersecurity portfolios, or real-world implementation scenarios.
Machine Learning Tools
AnyLogic, Azure Machine Learning, fastText, GitHub Copilot, Google AutoML, Keras, Kubeflow, MATLAB, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, Scrapy, SQL, TensorFlow, Tesseract OCR, TextBlobWhat's included
| Service Tiers |
Starter
$35
|
Standard
$70
|
Advanced
$140
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $40
Additional Revision
+$5
Additional Model Variation
(+ 2 Days)
+$10About Gaurangi
Software Development, AI/ML
Kanpur, India - 6:26 pm local time
During my internship, I worked on real-world machine learning projects involving data preprocessing, model development, feature engineering, and performance optimization. I have built projects such as a DDoS Detection System achieving over 90% accuracy and an AI-powered mental health chatbot using NLP and deep learning techniques.
My expertise includes:
• Machine Learning and Deep Learning
• Python, SQL, Pandas, and NumPy
• Data Analysis and Visualization
• Power BI and Advanced Excel
• TensorFlow, Keras, and Scikit-learn
• Data Preprocessing and Model Evaluation
I am committed to delivering high-quality, reliable, and efficient solutions that help clients solve real-world problems through data and artificial intelligence. I believe in clear communication, timely delivery, and continuous learning to provide the best possible results for every project.
Steps for completing your project
After purchasing the project, send requirements so Gaurangi can start the project.
Delivery time starts when Gaurangi receives requirements from you.
Gaurangi works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Understand client requirements, dataset, and expected output for the DDoS detection system.
Data Preprocessing
Clean, transform, and prepare the dataset for machine learning model training.