云控平台硬件安全测试数据集

本数据集为聚焦于智能网联汽车某智慧高速云控平台硬件安全机制的真实环境测试数据集。数据采集于2023年1月至12月，主要针对云控平台硬件层的关键安全功能——数据加密传输与数字签名验签——进行专项测试。数据集包含云控指令下发、路侧数据上报等全链路交互过程中的原始安全数据包、硬件安全模块处理日志及对应的真值评价数据。通过采集并标注合法操作、多种注入攻击及异常访问等场景下的安全数据，本数据集旨在为评估云控平台硬件安全模块的机密性、完整性、抗攻击能力及合规性提供可量化的基准，适用于云控系统安全架构设计验证、硬件安全芯片性能评估、入侵检测算法训练及行业安全标准符合性测试。This dataset is a real-world test dataset focused on the hardware security mechanisms of a smart expressway cloud control platform for intelligent connected vehicles. Data was collected between January and December 2023, with targeted tests conducted primarily on the core security functions of the platform's hardware layer: encrypted data transmission and digital signature verification. The dataset encompasses raw security data packets, hardware security module (HSM) processing logs, and corresponding ground-truth evaluation data generated throughout the entire end-to-end interaction workflow, including cloud control instruction issuance and roadside data reporting. By collecting and annotating security data across scenarios such as legitimate operations, diverse injection attacks, and abnormal access attempts, this dataset aims to provide a quantifiable benchmark for assessing the confidentiality, integrity, attack resistance, and compliance of the cloud control platform's HSMs. It is applicable to use cases including verification of cloud control system security architecture designs, performance evaluation of hardware security chips, training of intrusion detection algorithms, and compliance testing against industry security standards.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于智能网联汽车云控平台硬件安全机制的真实环境测试，采集于2023年，涵盖数据加密传输与数字签名验签等关键安全功能。它包含原始安全数据包、处理日志和真值评价数据，旨在为评估硬件安全模块的机密性、完整性和抗攻击能力提供量化基准，适用于安全架构验证和算法训练。