help@rskworld.in +91 93305 39277
RSK World
  • Home
  • Development
    • Web Development
    • Mobile Apps
    • Software
    • Games
    • Project
  • Technologies
    • Data Science
    • AI Development
    • Cloud Development
    • Blockchain
    • Cyber Security
    • Dev Tools
    • Testing Tools
  • About
  • Contact

Theme Settings

Color Scheme
Display Options
Font Size
100%

Intrusion Detection System Machine Learning Open Source

Machine learning-based intrusion detection system to identify network attacks and anomalies in real-time. Detect DoS, DDoS, port scans, and unauthorized access attempts with advanced ML algorithms.

Real-time Detection Multiple ML Models Web Interface REST API Download Now Jupyter Notebook TensorFlow Get Started
Download Project
IDS ML Project - RSK World
IDS ML Project - RSK World
Machine Learning Network Security Python TensorFlow Scikit-learn Cybersecurity

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to identify various attack types including DoS, DDoS, port scans, and unauthorized access attempts.

If you find this project useful, you can support with a small contribution.

Secure Fast Trusted
Pay via UPI QR
Scan or tap an amount to auto-generate
UPI QR
₹
Open UPI app
GPay PhonePe Paytm
Download Free Source Code

Real-time Attack Detection

Detect network attacks and anomalies in real-time using machine learning algorithms.

  • Live network traffic monitoring
  • Real-time classification
  • Multiple attack type detection
  • Anomaly detection capabilities

Multiple ML Algorithms

Three powerful machine learning models: Random Forest, SVM, and Neural Networks.

  • Random Forest for fast detection
  • SVM for high-dimensional data
  • Neural Network for complex patterns
  • Model comparison and evaluation

Web Interface & REST API

Complete web application with demo, documentation, and REST API endpoints.

  • Flask-based web interface
  • File upload and prediction
  • REST API for integration
  • Interactive demo page

Performance Metrics

Detailed evaluation with confusion matrix, accuracy, and performance metrics.

  • Confusion matrix visualization
  • Accuracy and precision metrics
  • ROC curve analysis
  • Model performance comparison

Jupyter Notebooks

Interactive Jupyter Notebooks for data exploration, training, and evaluation.

  • Data exploration notebook
  • Model training notebook
  • Evaluation and metrics
  • Step-by-step analysis

Requirements

The following are the technical requirements for this project:

  • Python 3.8+
  • Scikit-learn 1.3.2+
  • TensorFlow 2.15.0+
  • Flask 3.0.0+
  • Pandas 2.1.4+
  • Jupyter Notebook 1.0.0+

Credits & Acknowledgments

This project is developed for educational purposes and utilizes the following resources:

  • Python - PSF License
  • Scikit-learn - BSD License
  • TensorFlow - Apache 2.0 License
  • Flask - BSD License
  • RSK World - Project Inspiration
  • GitHub Repository - Source code and documentation

Support & Contact

For paid applications, please contact us for integration help or feedback.

  • Support Email: help@rskworld.in
  • Contact Number: +91 9330539277
  • Website: RSKWORLD.in
  • GitHub Project
  • Join Our Discord
  • Slack Support Channel
  • IDS ML Documentation
Featured Content
Featured Content
Featured Content
Additional Sponsored Content

Download Free Source Code

Get the complete source code for this project. You can view the code or download the source code directly.

Download Free Source Code

Quick Links

Download Free Source Code Click to explore
Explore IDS ML by RSK World Click to explore
Explore All Machine Learning Projects by RSK World Click to explore

Categories

Machine Learning Network Security Python TensorFlow Scikit-learn Cybersecurity

Technologies

Python 3.8+
Scikit-learn
TensorFlow
Flask

Explore More ML Projects

Machine Learning Solutions

Machine Learning Network Security Python Cybersecurity
Malware Detection with Deep Learning - rskworld.in
Malware Detection using Deep Learning
ML Projects

Deep learning model to detect and classify malware samples using CNN and LSTM ne...

View Project
Phishing Email Detection - rskworld.in
Phishing Email Detection System
ML Projects

Machine learning model to identify phishing emails and malicious URLs using NLP ...

View Project
Password Strength Prediction - rskworld.in
Password Strength Prediction with ML
ML Projects

Machine learning model to predict password strength and security vulnerabilities...

View Project
Ransomware Detection - rskworld.in
Ransomware Detection with Deep Learning
ML Projects

Deep learning model to detect ransomware attacks by analyzing file encryption pa...

View Project
Botnet Detection - rskworld.in
Botnet Detection with Machine Learning
ML Projects

ML-based system to detect botnet activities and compromised devices in network t...

View Project
View All Projects

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

Development

  • Game Development
  • Web Development
  • Mobile Development
  • AI Development
  • Development Tools

Legal

  • Terms & Conditions
  • Privacy Policy
  • Disclaimer

Contact Info

Nutanhat, Mongolkote
Purba Burdwan, West Bengal
India, 713147

+91 93305 39277

hello@rskworld.in
support@rskworld.in

© 2026 RSK World. All rights reserved.

Content used for educational purposes only. View Disclaimer