CAN-MIRGU
Donated on 7/24/2024
A Comprehensive CAN Bus Attack Dataset from Moving Vehicles for Intrusion Detection System Evaluation This dataset includes CAN bus attacks collected from a modern automobile equipped with autonomous driving capabilities, operating in real-world driving scenarios. The dataset encompasses physically verified attacks to enhance the comparison and validation of in-vehicle network Intrusion Detection Systems.
Dataset Characteristics
Sequential, Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real, Categorical, Integer
# Instances
48
# Features
-
Dataset Information
Has Missing Values?
No
Introductory Paper
By Sampath Rajapaksha, Garikayi Madzudzo, Harsha Kalutarage, Andrei Petrovski, M.Omar Al-Kadri. 2024
Published in Symposium on Vehicles Security and Privacy (VehicleSec) 2024
Dataset Files
| File | Size |
|---|---|
| CAN-MIRGU-20240725T120247Z-001.zip | 497.1 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset can_mirgu = fetch_ucirepo(id=1035) # data (as pandas dataframes) X = can_mirgu.data.features y = can_mirgu.data.targets # metadata print(can_mirgu.metadata) # variable information print(can_mirgu.variables)
Rajapaksha, S. (2024). CAN-MIRGU [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5H911.
Creators
Sampath Rajapaksha
s.rajapaksha@rgu.ac.uk
Robert Gordon University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.