Research on controller area network Intrusion Detection Systems

Overview

Group members information

Member 1: Lixue Liang

Member 2: Yuet Lee Chan

Member 3: Xinruo Zhang

Member 4: Yifei Han

User Manual

Generate Attack Packets

  1. To generate Dos attack packets, run ‘python3.8 Dos_SameIDSameFrameLength(Dos).py’.
  2. To generate Fuzzy attack packets, run ‘python3.8 Format_RandomLog_Generator(Fuzzy).py’.
  3. To generate Spoofing attack packets, run ‘python3.8 spoofing.py’

Generate Normal CAN Bus traffic on a virtual interface

  1. Open a terminal, run ‘python3.8 setup.py’ to set up the SocketCAN interface and ready for sending CAN Bus traffic. Modify the filenames inside the file before use. If there is ‘0x’ before the ID in a normal traffic CSV file, run ‘python3.8 preprocess_traffic.py’ before setting up the normal traffic.

Generate Attack CAN Bus traffic on a selected virtual interface

  1. To generate the attack traffic, open a new terminal(s), run ‘python3.8 attack.py’, and follow the instructions.

Capture traffic by Wireshark and Format the exported CSV file

  1. After running setup.py, before starting any traffic, open a terminal, run ‘sudo wireshark’ to capture packets. The Wireshark must run as administrator, otherwise, the virtual interface won’t show.
  2. Export collected traffic to a CSV file from Wireshark.
  3. Run ‘python3.8 format_wireshark.py’ to format the exported CSV file. Modify the filenames inside the file before use.
  4. Run ‘python3.8 MarkType.py’ to mark the normal traffic and attack traffic.

Traffic Visualization

  1. Run ‘python3.8 MatPlot.py’ to view the plot diagram and bar diagram of the selected CAN ID.

Data Processing and ID3 Model Training & Testing

  1. Run ‘python3.8 ids_data_processing.py’ to convert ID and data fields from hexadecimal to decimal, and combine data fields into one column.
  2. Run ‘ID3_model.ipynb’ to train and test the accuracy of the model.

Check outliers

  1. Import the attack csv file into folder
  2. Run 'outliers.R' to mark the 1 and 0 in a new colunm and generate a new csv file.
Owner
Roche
Roche
An Open-Source Tool for Automatic Disease Diagnosis..

OpenMedicalChatbox An Open-Source Package for Automatic Disease Diagnosis. Overview Due to the lack of open source for existing RL-base automated diag

8 Nov 08, 2022
Learning to Initialize Neural Networks for Stable and Efficient Training

GradInit This repository hosts the code for experiments in the paper, GradInit: Learning to Initialize Neural Networks for Stable and Efficient Traini

Chen Zhu 124 Dec 30, 2022
Image restoration with neural networks but without learning.

Warning! The optimization may not converge on some GPUs. We've personally experienced issues on Tesla V100 and P40 GPUs. When running the code, make s

Dmitry Ulyanov 7.4k Jan 01, 2023
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

causal-bald | Abstract | Installation | Example | Citation | Reproducing Results DUE An implementation of the methods presented in Causal-BALD: Deep B

OATML 13 Oct 07, 2022
Rasterize with the least efforts for researchers.

utils3d Rasterize and do image-based 3D transforms with the least efforts for researchers. Based on numpy and OpenGL. It could be helpful when you wan

Ruicheng Wang 8 Dec 15, 2022
Deep Watershed Transform for Instance Segmentation

Deep Watershed Transform Performs instance level segmentation detailed in the following paper: Min Bai and Raquel Urtasun, Deep Watershed Transformati

193 Nov 20, 2022
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"

Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena

valeo.ai 15 Dec 22, 2022
yufan 81 Dec 08, 2022
Chess reinforcement learning by AlphaGo Zero methods.

About Chess reinforcement learning by AlphaGo Zero methods. This project is based on these main resources: DeepMind's Oct 19th publication: Mastering

Samuel 2k Dec 29, 2022
Repo for EchoVPR: Echo State Networks for Visual Place Recognition

EchoVPR Repo for EchoVPR: Echo State Networks for Visual Place Recognition Currently under development Dirs: data: pre-collected hidden representation

Anil Ozdemir 4 Oct 04, 2022
[cvpr22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

PS-MT [cvpr22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation by Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasile

Yuyuan Liu 132 Jan 03, 2023
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21)

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21) Citation If y

addisonwang 18 Nov 11, 2022
Instant-nerf-pytorch - NeRF trained SUPER FAST in pytorch

instant-nerf-pytorch This is WORK IN PROGRESS, please feel free to contribute vi

94 Nov 22, 2022
Classifying cat and dog images using Kaggle dataset

PyTorch Image Classification Classifies an image as containing either a dog or a cat (using Kaggle's public dataset), but could easily be extended to

Robert Coleman 74 Nov 22, 2022
OpenMMLab Pose Estimation Toolbox and Benchmark.

Introduction English | 简体中文 MMPose is an open-source toolbox for pose estimation based on PyTorch. It is a part of the OpenMMLab project. The master b

OpenMMLab 2.8k Dec 31, 2022
LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Query Selector Here you can find code and data loaders for the paper https://arxiv.org/pdf/2107.08687v1.pdf . Query Selector is a novel approach to sp

MORAI 62 Dec 17, 2022
A module for solving and visualizing Schrödinger equation.

qmsolve This is an attempt at making a solid, easy to use solver, capable of solving and visualize the Schrödinger equation for multiple particles, an

506 Dec 28, 2022
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

VectorNet Re-implementation This is the unofficial pytorch implementation of CVPR2020 paper "VectorNet: Encoding HD Maps and Agent Dynamics from Vecto

120 Jan 06, 2023
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

FaceAPI AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using

Vladimir Mandic 395 Dec 29, 2022
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Created by Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Z

Yongming Rao 322 Dec 31, 2022