Quantised LSTM-Based Intrusion Detection System for Automotive Controller Area Network

This repository contains the training code and the backend HLS implementation for the Quantised LSTM-Based Intrusion Detection System (QLSTM-IDS) for Automotive Controller Area Network (CAN).

Repository Structure

1. Training Script:

   • Includes the model training code used to train the QLSTM-IDS on the Open Car Hacking Dataset and the Survival Analysis Dataset for intrusion detection.

2. Backend Implementation:

   • Features the hardware implementation of the final LSTM + Dense model using hardware building blocks available in the FINN-HLSLib library.

3. Deployment:

   • Contains the bitstream file for the IDS IP.
   • Includes a Jupyter notebook to monitor latency and energy utilization of the deployed IP.

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