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🛡️ RTDS - Real-Time Threat Detection System

RTDS Banner Python Platform License

🔥 Advanced Real-Time Threat Detection & Cybersecurity Monitoring System 🔥

Detect. Analyze. Protect.


🌟 Project Overview

RTDS is a cutting-edge, lightweight cybersecurity simulation and detection framework designed for real-time network threat analysis. Built with modern Python architecture, it provides comprehensive monitoring capabilities for detecting sophisticated cyber attacks in live network environments.

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        Real-Time Detection System

Key Features

🎯 Core Capabilities

  • Real-Time Monitoring - Live network packet analysis
  • Multi-Attack Detection - DDoS & MITM specialized detection
  • Cross-Platform Support - Windows & Linux compatible
  • Lightweight Architecture - Minimal resource consumption
  • Extensible Framework - Easy to add new detection modules

🛡️ Security Features

  • 🚨 Intelligent Alerting - Real-time threat notifications
  • 📊 Statistical Analysis - Advanced packet rate monitoring
  • 🔍 ARP Spoofing Detection - MITM attack identification
  • 💥 DDoS Pattern Recognition - Volumetric & SYN flood detection
  • 📝 Comprehensive Logging - Detailed attack forensics

🎪 Attack Detection Matrix

Attack Type Detection Method Accuracy Status
MITM/ARP Spoofing 🔍 MAC Address Analysis 95%+ ✅ Active
DDoS Volumetric 📊 Packet Rate Monitoring 90%+ ✅ Active
SYN Flood 🌊 TCP Flag Analysis 92%+ ✅ Active
Gratuitous ARP 📡 Suspicious ARP Detection 88%+ ✅ Active
Port Scanning 🔭 Multi-port Detection 85%+ ✅ Active
DNS Tunneling 🌐 Entropy & Pattern Analysis 90%+ ✅ Active
Phishing URLs 🎣 VirusTotal Integration 88%+ ✅ Active

📂 Repository Structure

RTDS/
├── 🐧 rtds.py              # Linux version (requires sudo)
├── 🪟 rtds_win.py          # Windows version  
├── 📋 requirements.txt     # Python dependencies
├── 📖 README.md           # This file
├── 📊 logs/               # Log files directory
│   └── rtds_alerts.log    # Security alerts log
└── 🔧 config/             # Configuration files
    └── whitelist.json     # Trusted devices

🛠️ System Requirements

Component Requirement
Python Version 3.8+
Memory 256MB RAM
Storage 50MB free space
Network Active network interface
Privileges Admin/Root access

📦 Dependencies

scapy>=2.4.5      # Network packet manipulation
argparse           # Command-line argument parsing  
collections        # Advanced data structures
threading          # Multi-threading support
time               # Time-based operations

🚀 Quick Start Guide

🔥 Installation

# Clone the repository
git clone https://github.com/th-shivam/RTDS.git
cd RTDS

# Install dependencies  
pip install -r requirements.txt

🐧 Linux Deployment

# Grant necessary permissions
chmod +x rtds.py

# Run with administrative privileges
sudo python3 rtds.py

# Custom configuration
sudo python3 rtds.py --ddos-threshold 100 --iface eth0

🪟 Windows Deployment

# Open PowerShell as Administrator
cd C:\Path\To\RTDS

# Execute the Windows version
python rtds_win.py

# Monitor specific interface
python rtds_win.py --iface "Wi-Fi" --log "security.log"

⚙️ Advanced Configuration

🎛️ Command Line Options

python rtds.py [OPTIONS]

OPTIONS:
  --ddos-threshold INT     DDoS detection threshold (default: 100 pps)
  --syn-threshold INT      SYN flood threshold (default: 50 pps)  
  --iface STRING          Network interface to monitor
  --log STRING            Custom log file path
  --help                  Show help message

📝 Configuration Examples

# High-security monitoring
python rtds.py --ddos-threshold 50 --syn-threshold 25

# Monitor specific network interface  
python rtds.py --iface "Ethernet" --log "network_security.log"

# Corporate network monitoring
sudo python3 rtds.py --ddos-threshold 200 --iface eth0

📊 Real-Time Dashboard

🔐 Simple RTDS v1.0 - DDoS & MITM Detection
🛡️ Focused Detection: DDoS Attacks & MITM/ARP Spoofing
🎯 Project Ready Version
--------------------------------------------------
Detection Features:
• Volumetric DDoS Detection   • SYN Flood Detection  
• ARP Spoofing Detection      • MITM Attack Detection
• Real-time Monitoring        • Automatic Logging
--------------------------------------------------

[*] Interface: Wi-Fi
[*] DDoS Threshold: 100 pps
[*] SYN Threshold: 50 pps
[*] Log File: rtds_alerts.log

✓ New device mapped: 192.168.1.100 → aa:bb:cc:dd:ee:ff
🚨 DDoS Attack Detected from 192.168.1.50 - Rate: 150 packets/sec  
⚠️ MITM/ARP Spoofing Detected! IP: 192.168.1.1 | Old MAC: aa:bb → New MAC: cc:dd
📊 Runtime: 00:02:30 | Packets: 1500 | Attacks: 3 | ARP Entries: 15

🎯 Attack Simulation Scenarios

🔍 MITM Attack Detection

Scenario: ARP Spoofing Attack

Target: Router (192.168.1.1)
Attacker: Malicious device attempts MAC spoofing
Detection: Real-time ARP table analysis
Alert: "MITM/ARP Spoofing Detected!"
💥 DDoS Attack Detection

Scenario: SYN Flood Attack

Target: Web server (192.168.1.10)
Attack: High-rate SYN packet flooding
Detection: Packet rate threshold analysis  
Alert: "DDoS Attack Detected - Rate: 250 pps"

🔮 Roadmap & Future Enhancements

🚀 Phase 1: Core Security (Current)

  • DDoS Detection Engine
  • MITM/ARP Spoofing Detection
  • Real-time Monitoring Dashboard
  • Cross-platform Compatibility

🎯 Phase 2: Advanced Threats (Upcoming)

  • 🔭 Port Scanning Detection
  • 🌐 DNS Tunneling Analysis
  • 🔒 Encrypted Traffic Analysis
  • 🤖 Machine Learning Integration

🌟 Phase 3: Enterprise Features (Future)

  • 📱 Web-based Dashboard
  • 🔔 Email/SMS Alerting
  • 📈 Advanced Analytics
  • 🌍 Distributed Monitoring

📸 Screenshots & Demo

🖥️ Live Detection Interface

Detection Interface

📊 Attack Statistics Dashboard

Statistics


🤝 Contributing to RTDS

We welcome contributions from the cybersecurity community!

🎯 How to Contribute

  1. 🍴 Fork the repository
  2. 🌱 Create a feature branch (git checkout -b feature/AmazingFeature)
  3. 💾 Commit your changes (git commit -m 'Add AmazingFeature')
  4. 📤 Push to the branch (git push origin feature/AmazingFeature)
  5. 🎉 Open a Pull Request

🐛 Bug Reports

Found a bug? Please create an issue with:

  • Detailed description
  • Steps to reproduce
  • Expected vs actual behavior
  • System information

📜 License & Legal

MIT License

Copyright (c) 2024 RTDS Project

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

⚠️ Disclaimer

Educational Purpose: This tool is designed for educational and research purposes in cybersecurity. Users are responsible for ensuring compliance with applicable laws and regulations. The developers are not responsible for any misuse of this software.


🌟 Connect With Us

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⭐ If RTDS helped you in your cybersecurity journey, please give us a star! ⭐

Made with ❤️ by Shivam Singh - Project Lead & Developer

About

RTDS is a cutting-edge, lightweight cybersecurity simulation and detection framework designed for real-time network threat analysis. Built with modern Python architecture, it provides comprehensive monitoring capabilities for detecting sophisticated cyber attacks in live network environments.

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