X-CANIDS Dataset (In-Vehicle Signal Dataset)

X-CANIDS Dataset (In-Vehicle Signal Dataset)In March 2024, one of our recent research "X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network" was published in IEEE Transactions on Vehicular Technology. Here we publish the dataset used in the article. We hope our dataset facilitates further research using deserialized signals as well as raw CAN messages.Real-world data collection. Our benign driving dataset is unique in that it has been collected from real-world environments.Signal deserialization. We offer our dataset in two formats, i.e., raw CAN messages and deserialized signals, enabling development of either message- and signal-based models and comparison of their performance. For more specifications regarding this dataset, please refer to X-CANIDS_Dataset.md in DOCUMENTATION.More description will be added here soon.

X-CANIDS 数据集（车载信号数据集）。
2024年3月，我们的最新研究《X-CANIDS：面向基于控制器局域网（Controller Area Network，简称CAN）的车载网络的信号感知可解释入侵检测系统》发表于《IEEE 车辆技术汇刊》（IEEE Transactions on Vehicular Technology）。我们在此发布本研究使用的数据集，以期该数据集能够为基于反序列化信号与原始CAN报文的后续研究提供助力。
真实场景数据采集：本数据集的良性驾驶数据具有独特性，其采集自真实行车环境。
信号反序列化支持：我们以两种格式提供本数据集，即原始CAN报文与反序列化信号，可支撑基于报文和基于信号的模型开发，并便于二者的性能对比。
如需了解该数据集的更多详细规范，请参阅DOCUMENTATION文件夹中的X-CANIDS_Dataset.md。更多数据集描述将在后续补充。

搜集汇总

背景与挑战

背景概述

X-CANIDS Dataset是一个车载信号数据集，包含来自真实商业车辆的良性驾驶数据和五种模拟入侵攻击数据（如模糊攻击、伪造攻击等），提供原始CAN消息和反序列化信号两种格式，支持车载网络安全研究。