BIDS: An efficient Intrusion Detection System for in-vehicle networks using a two-stage Binarised Neural Network on low-cost FPGA

This publication has 19 references indexed in Scilit:

• An FPGA-Based Intrusion Detection System Using Binarised Neural Network for CAN Bus Systems
  2024
• A robust and real-time DNN-based multi-baseline stereo accelerator in FPGAs
  Journal of Systems Architecture, 2023
• An efficient real-time accelerator for high-accuracy DNN-based optical flow estimation in FPGA
  Journal of Systems Architecture, 2022
• A Hybrid Approach Toward Efficient and Accurate Intrusion Detection for In-Vehicle Networks
  IEEE Access, 2022
• A Binarized Neural Network Approach to Accelerate in-Vehicle Network Intrusion Detection
  IEEE Access, 2022
• OpenGAN: Open-Set Recognition via Open Data Generation
  2021
• MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
  IEEE Internet of Things Journal, 2021
• A survey of FPGA-based accelerators for convolutional neural networks
  Neural Computing and Applications, 2018
• Formal Verification of Automotive Design in Compliance With ISO 26262 Design Verification Guidelines
  IEEE Access, 2017
• HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
  2015