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
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

YOLOv5-Lite:lighter, faster and easier to deploy Perform a series of ablation experiments on yolov5 to make it lighter (smaller Flops, lower memory, a

pogg 1.5k Jan 05, 2023
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English ⚖️ 🏆 🧑‍🎓 👩‍⚖️ Dataset Summary Inspired by the recent widespread use of th

95 Dec 08, 2022
A Python library created to assist programmers with complex mathematical functions

libmaths libmaths was created not only as a learning experience for me, but as a way to make mathematical models in seconds for Python users using mat

Simple 73 Oct 02, 2022
pytorch implementation of dftd2 & dftd3

torch-dftd pytorch implementation of dftd2 [1] & dftd3 [2, 3] Install # Install from pypi pip install torch-dftd # Install from source (for developer

33 Nov 28, 2022
Datasets for new state-of-the-art challenge in disentanglement learning

High resolution disentanglement datasets This repository contains the Falcor3D and Isaac3D datasets, which present a state-of-the-art challenge for co

NVIDIA Research Projects 37 May 26, 2022
The official implementation of the Hybrid Self-Attention NEAT algorithm

PUREPLES - Pure Python Library for ES-HyperNEAT About This is a library of evolutionary algorithms with a focus on neuroevolution, implemented in pure

Adrian Westh 91 Dec 12, 2022
This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object

348 Jan 07, 2023
WSDM2022 "A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction"

BiRTE WSDM2022 "A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction" Requirements The main requirements are: py

9 Dec 27, 2022
Stochastic gradient descent with model building

Stochastic Model Building (SMB) This repository includes a new fast and robust stochastic optimization algorithm for training deep learning models. Th

S. Ilker Birbil 22 Jan 19, 2022
Make a Turtlebot3 follow a figure 8 trajectory and create a robot arm and make it follow a trajectory

HW2 - ME 495 Overview Part 1: Makes the robot move in a figure 8 shape. The robot starts moving when launched on a real turtlebot3 and can be paused a

Devesh Bhura 0 Oct 21, 2022
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

🆕 Are you looking for a new YOLOv3 implemented by TF2.0 ? If you hate the fucking tensorflow1.x very much, no worries! I have implemented a new YOLOv

3.6k Dec 26, 2022
CONditionals for Ordinal Regression and classification in tensorflow

Condor Ordinal regression in Tensorflow Keras Tensorflow Keras implementation of CONDOR Ordinal Regression (aka ordinal classification) by Garrett Jen

9 Jul 31, 2022
Official implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis https://arxiv.org/abs/2011.13775

CIPS -- Official Pytorch Implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis Requirements pip install -r requi

Multimodal Lab @ Samsung AI Center Moscow 201 Dec 21, 2022
《K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters》(2020)

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters This repository is the implementation of the paper "K-Adapter: Infusing Knowledge

Microsoft 118 Dec 13, 2022
Resources complimenting the Machine Learning Course led in the Faculty of mathematics and informatics part of Sofia University.

Machine Learning and Data Mining, Summer 2021-2022 How to learn data science and machine learning? Programming. Learn Python. Basic Statistics. Take a

Simeon Hristov 8 Oct 04, 2022
This is an example of object detection on Micro bacterium tuberculosis using Mask-RCNN

Mask-RCNN on Mycobacterium tuberculosis This is an example of object detection on Mycobacterium Tuberculosis using Mask RCNN. Implement of Mask R-CNN

Jun-En Ding 1 Sep 16, 2021
"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021

Texformer: 3D Human Texture Estimation from a Single Image with Transformers This is the official implementation of "3D Human Texture Estimation from

XiangyuXu 193 Dec 05, 2022
DiffStride: Learning strides in convolutional neural networks

DiffStride is a pooling layer with learnable strides. Unlike strided convolutions, average pooling or max-pooling that require cross-validating stride values at each layer, DiffStride can be initiali

Google Research 113 Dec 13, 2022
Implementations of polygamma, lgamma, and beta functions for PyTorch

lgamma Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use. To build, run: .

Rachit Singh 24 Nov 09, 2021
基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline

项目简介: 使用YOLOX+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中。 代码地址(欢迎star): https://github.com/Sharpiless/yolox-deepsort/ 最终效果: 运行demo: python demo

114 Dec 30, 2022