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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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๐Ÿ›ก๏ธ RTDS - Real-Time Threat Detection System

RTDS Banner Python Platform License

๐Ÿ”ฅ Advanced Real-Time Threat Detection & Cybersecurity Monitoring System ๐Ÿ”ฅ

Detect. Analyze. Protect.


๐ŸŒŸ 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.

   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
   โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•
   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
   โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘โ•šโ•โ•โ•โ•โ–ˆโ–ˆโ•‘
   โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘
   โ•šโ•โ•  โ•šโ•โ•   โ•šโ•โ•   โ•šโ•โ•โ•โ•โ•โ• โ•šโ•โ•โ•โ•โ•โ•โ•
        Real-Time Detection System

โšก Key Features

๐ŸŽฏ Core Capabilities

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

๐Ÿ›ก๏ธ Security Features

  • ๐Ÿšจ Intelligent Alerting - Real-time threat notifications
  • ๐Ÿ“Š Statistical Analysis - Advanced packet rate monitoring
  • ๐Ÿ” ARP Spoofing Detection - MITM attack identification
  • ๐Ÿ’ฅ DDoS Pattern Recognition - Volumetric & SYN flood detection
  • ๐Ÿ“ Comprehensive Logging - Detailed attack forensics

๐ŸŽช Attack Detection Matrix

Attack Type Detection Method Accuracy Status
MITM/ARP Spoofing ๐Ÿ” MAC Address Analysis 95%+ โœ… Active
DDoS Volumetric ๐Ÿ“Š Packet Rate Monitoring 90%+ โœ… Active
SYN Flood ๐ŸŒŠ TCP Flag Analysis 92%+ โœ… Active
Gratuitous ARP ๐Ÿ“ก Suspicious ARP Detection 88%+ โœ… Active
Port Scanning ๐Ÿ”ญ Multi-port Detection 85%+ โœ… Active
DNS Tunneling ๐ŸŒ Entropy & Pattern Analysis 90%+ โœ… Active
Phishing URLs ๐ŸŽฃ VirusTotal Integration 88%+ โœ… Active

๐Ÿ“‚ Repository Structure

RTDS/
โ”œโ”€โ”€ ๐Ÿง rtds.py              # Linux version (requires sudo)
โ”œโ”€โ”€ ๐ŸชŸ rtds_win.py          # Windows version  
โ”œโ”€โ”€ ๐Ÿ“‹ requirements.txt     # Python dependencies
โ”œโ”€โ”€ ๐Ÿ“– README.md           # This file
โ”œโ”€โ”€ ๐Ÿ“Š logs/               # Log files directory
โ”‚   โ””โ”€โ”€ rtds_alerts.log    # Security alerts log
โ””โ”€โ”€ ๐Ÿ”ง config/             # Configuration files
    โ””โ”€โ”€ whitelist.json     # Trusted devices

๐Ÿ› ๏ธ System Requirements

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

๐Ÿ“ฆ 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

๐Ÿš€ Quick Start Guide

๐Ÿ”ฅ Installation

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

# Install dependencies  
pip install -r requirements.txt

๐Ÿง 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

๐ŸชŸ 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"

โš™๏ธ Advanced Configuration

๐ŸŽ›๏ธ 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

๐Ÿ“ 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

๐Ÿ“Š Real-Time Dashboard

๐Ÿ” Simple RTDS v1.0 - DDoS & MITM Detection
๐Ÿ›ก๏ธ Focused Detection: DDoS Attacks & MITM/ARP Spoofing
๐ŸŽฏ Project Ready Version
--------------------------------------------------
Detection Features:
โ€ข Volumetric DDoS Detection   โ€ข SYN Flood Detection  
โ€ข ARP Spoofing Detection      โ€ข MITM Attack Detection
โ€ข Real-time Monitoring        โ€ข Automatic Logging
--------------------------------------------------

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

โœ“ New device mapped: 192.168.1.100 โ†’ aa:bb:cc:dd:ee:ff
๐Ÿšจ DDoS Attack Detected from 192.168.1.50 - Rate: 150 packets/sec  
โš ๏ธ MITM/ARP Spoofing Detected! IP: 192.168.1.1 | Old MAC: aa:bb โ†’ New MAC: cc:dd
๐Ÿ“Š Runtime: 00:02:30 | Packets: 1500 | Attacks: 3 | ARP Entries: 15

๐ŸŽฏ Attack Simulation Scenarios

๐Ÿ” 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!"
๐Ÿ’ฅ 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"

๐Ÿ”ฎ Roadmap & Future Enhancements

๐Ÿš€ Phase 1: Core Security (Current)

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

๐ŸŽฏ Phase 2: Advanced Threats (Upcoming)

  • ๐Ÿ”ญ Port Scanning Detection
  • ๐ŸŒ DNS Tunneling Analysis
  • ๐Ÿ”’ Encrypted Traffic Analysis
  • ๐Ÿค– Machine Learning Integration

๐ŸŒŸ Phase 3: Enterprise Features (Future)

  • ๐Ÿ“ฑ Web-based Dashboard
  • ๐Ÿ”” Email/SMS Alerting
  • ๐Ÿ“ˆ Advanced Analytics
  • ๐ŸŒ Distributed Monitoring

๐Ÿ“ธ Screenshots & Demo

๐Ÿ–ฅ๏ธ Live Detection Interface

Detection Interface

๐Ÿ“Š Attack Statistics Dashboard

Statistics


๐Ÿค Contributing to RTDS

We welcome contributions from the cybersecurity community!

๐ŸŽฏ How to Contribute

  1. ๐Ÿด Fork the repository
  2. ๐ŸŒฑ Create a feature branch (git checkout -b feature/AmazingFeature)
  3. ๐Ÿ’พ Commit your changes (git commit -m 'Add AmazingFeature')
  4. ๐Ÿ“ค Push to the branch (git push origin feature/AmazingFeature)
  5. ๐ŸŽ‰ Open a Pull Request

๐Ÿ› Bug Reports

Found a bug? Please create an issue with:

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

๐Ÿ“œ 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.

โš ๏ธ 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.


๐ŸŒŸ Connect With Us

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

Made with โค๏ธ by Shivam Singh - Project Lead & Developer

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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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