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f2md's Introduction

Framework For Misbehavior Detection (F2MD)

This project aims to recreate within a simulation all the elements that form the chain of misbehavior detection.

Features

  • Basic Plausibility Checks on Received Beacons (mdChecks)
  • Node Level Plausibility Investigation (mdApplications)
  • Real Time Machine Learning for Plausibility Investigation (HTTP to a Python Server: PyMLServer-Local)
  • Real Time Detection Status Output (mdStats)
  • Support for Multiple Reporting Mechanisms (mdReport)
  • Support for Global Reports Collection and Investigation (HTTP to a Python Server: MAServer-Global)
  • Some Basic Psudonym Change Policies (mdPCPolicies)
  • Some Local and Global Misbehavior Attacks Implementation (mdAttacks)

Installation

  1. Install Sumo 1.0.1
  2. Install OMNeT++ 5.4.1
  3. Setup the veins-f2md version of Veins ( Follow the Veins Tutorial )

Alternatively, contact the author for a preinstalled Instant F2MD virtual machine.

Project Diagram

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f2md's People

Contributors

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Watchers

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