Car Hacking: Attack Defense Challenge 2020 Dataset

This is the dataset provided and collected while Car Hacking: Attack amp; Defense Challenge in 2020. We are the main organizer of the competition along with Culture Makers and Korea Internet amp; Security Agency. We are very proud of releasing these valuable datasets for all security researchers for free.The competition aimed to develop attack and detection techniques of Controller Area Network (CAN), a widely used standard of in-vehicle network. The target vehicle of competition was Hyundai Avante CN7.Therefore, the dataset is a CAN network traffic of Avante CN7 including normal messages and attack messages. The dataset contains1) Preliminary round train/test dataset2) Final round dataset of host's attack session

本数据集采集并整理自2020年汽车黑客攻防挑战赛（Car Hacking: Attack & Defense Challenge）期间产生的相关数据。本次赛事由我们与Culture Makers及韩国互联网与安全局（Korea Internet & Security Agency）联合主办，我们十分荣幸能够将这批极具科研价值的数据集免费开放给所有安全研究人员使用。本次赛事旨在针对当前车载网络广泛采用的控制器局域网（Controller Area Network, CAN）标准，研发对应的攻击与检测技术。赛事指定的目标车辆为现代伊兰特CN7（Hyundai Avante CN7）。因此，本数据集为该车型的CAN网络流量数据，涵盖正常报文与攻击报文两类内容。该数据集包含以下两部分：1）预选赛训练与测试数据集；2）主办方攻击会话决赛轮数据集。

搜集汇总

背景与挑战

背景概述

该数据集是2020年'Car Hacking: Attack & Defense Challenge'竞赛中收集的汽车网络安全数据集，专注于控制器局域网（CAN）的攻击与防御技术研究。数据集包含现代Avante CN7车辆的CAN网络流量，涵盖正常消息和多种攻击类型（如洪水、欺骗、重放和模糊测试），并以CSV格式提供预赛和决赛的详细数据，用于机器学习模型训练和入侵检测系统开发。