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RF Signal Monitor for automotive security and vehicle signal analysis

Project description

Automotive Security POC - RF Signal Monitor

Overview

The Automotive Security Proof of Concept (POC) is a monitoring system designed to detect and alert on suspicious RF signals that could indicate potential security threats to modern vehicles. It integrates the OpenXC platform with a HackRF One software-defined radio to provide real-time monitoring, detection, and alerting capabilities.

Key Features

  • Detection of anomalous RF signals in automotive frequency ranges (315MHz and 433MHz)
  • Real-time monitoring dashboard with comprehensive visualization
  • Alert system for suspicious activity (key fob relay attacks, cloning attempts, signal jamming)
  • Integration with vehicle data through OpenXC
  • Historical logging and analysis capabilities
  • Mobile companion app for on-the-go monitoring and alerts

Installation

Prerequisites

  • Python 3.6 or higher
  • HackRF One or compatible SDR hardware
  • OpenXC Vehicle Interface (or simulator)

Setup

  1. Clone the Repository

    git clone https://github.com/jondmarien/automotive-security-poc.git
    cd automotive-security-poc
    
  2. Set Up Virtual Environment

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  3. Install Dependencies

    pip install -r requirements.txt
    
  4. Prepare Log Directories

    mkdir -p src/logs/dashboard
    mkdir -p src/logs/integrated
    
  5. Configure Hardware (If using physical devices)

    • Connect HackRF One to your computer via USB
    • Ensure OpenXC Vehicle Interface is connected or simulator is configured

Usage

  1. Start the Application

    cd src
    python main_application.py
    
  2. Main Menu Options

    • Run Integrated RF Detector: Starts real-time monitoring
    • Show Dashboard: Launches visualization dashboard
    • View Documentation: Displays system documentation
    • Exit: Closes the application
  3. Using the RF Detector

    • Configure monitoring duration and detection parameters
    • View real-time RF signals and vehicle data
    • Receive alerts for suspicious activities

Screenshots

The application includes several visualization screens:

  • Main dashboard for RF signal monitoring
  • Alert management interface
  • Detection history logs
  • Configuration settings

See the app_mockups directory for visual references.

Technical Architecture

The system consists of three main components:

  1. RF Signal Detection Module (HackRF): Monitors frequency bands used in automotive systems
  2. Vehicle Integration Module (OpenXC): Collects real-time vehicle data
  3. Monitoring and Alerting System: Provides dashboard visualization and alert generation

Future Development

Planned enhancements include:

  • Enhanced signal analysis with machine learning
  • Integration with existing vehicle security systems
  • Dedicated hardware development
  • Cloud-based fleet monitoring
  • Automatic countermeasures for detected attacks

License

This project is licensed under the MIT License - see the LICENSE file for details.

The MIT License is a permissive license that allows reuse of the code while requiring attribution to the original author. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software, provided that you include the original copyright notice and permission notice in all copies or substantial portions of the software.


For detailed documentation, please refer to the POC Documentation.

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