OMNeT++ Vehicular Network Simulation

Project Objective: Develop a simulation in OMNeT++ to generate the VeReMi datastotal,am working on this tech for the first time ,i will have to give you access to my college pc ,also you will need to generate denm messages dataset from dec end or jan onwards , and then preprocess and generate machine learning model on the dataset ,will be simple as you can will WEKA for that ,you will not have to code much , plus you can use chatgptban MObility) for realistic traffic modeling. External Libraries: Integrate the LuST (Luxembourg SUMO Traffic) scenario to simulate authentic urban traffic patterns within the OMNeT++ environment. Misbehavior Models: Implement multiple types of misbehavior, such as false location reporting and message tampering, to simulate realistic attack scenarios in the dataset. Simulation Setup: Configure vehicle nodes in Veins to follow realistic mobility patterns provided by SUMO and the LuST scenario. Set up communication parameters for vehicle-to-vehicle (V2V) interactions within the Veins framework. Data Collection and Logging: Log communication data, including timestamps, vehicle IDs, positions (both actual and tampered), and message content. Ensure the dataset is structured with labels indicating normal and malicious behaviors for machine learning use. Expected Deliverables: Simulation Code: Fully functional OMNeT++ project setup, including Veins and SUMO integration. Dataset: The generated VeReMi dataset, including labeled instances of normal and malicious vehicular data. Documentation: Detailed setup instructions, explanations of misbehavior models, and a guide on how to replicate or modify the simulation. Skills Required: Proficiency with OMNeT++, Veins, and SUMO. Experience in vehicular network simulations, especially with implementing malicious behavior in communication protocols. Strong documentation skills to provide clear setup instructions and dataset descriptions. The expected duration for the project is at most 6-7 days in total,am working on this tech for the first time ,i will have to give you access to my college pc ,also you will need to generate denm messages dataset from dec end or jan onwards , and then preprocess and generate machine learning model on the dataset ,will be simple as you can will WEKA for that ,you will not have to code much , plus you can use chatgpt premium that am having ,so that will not be a lot of work.