在现实世界的工业控制系统中收集的数据集,用于网络攻击检测和检测
Xun Zhou1, Zihao Cheng1, Chenyu Wang1
1College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang, China.
Scientific data
|February 9, 2026
概括
一个新的数据集,工业控制系统网络攻击数据集 (ICS-NAD),为检测工业4.0系统中的网络攻击提供了现实的数据. 该资源有助于研究人员开发更好的防御来应对不断变化的威胁.
科学领域:
- 网络安全 网络安全
- 工业控制系统 (ICS) 是指工业控制系统.
- 工业4.0 工业4.0 工业4.0 工业4.0 工业4.0 是什么?
背景情况:
- 工业控制系统 (ICS) 在工业4.0中越来越开放,增加了网络安全风险.
- 现有的ICS数据集缺乏多样性,现实性和有效的入侵检测范围.
- 需要高质量的数据集来训练强大的ICS入侵检测系统.
研究的目的:
- 介绍ICS网络攻击数据集 (ICS-NAD) 以实现现实的ICS网络安全研究.
- 提供一个全面的数据集,涵盖各种ICS攻击类型和现实世界的场景.
- 促进先进的ICS入侵检测方法的开发和验证.
主要方法:
- 从现实世界的工业控制系统 (ICS) 环境中收集数据.
- 包括两种攻击流量模式和20种常见的ICS攻击类型.
- 从原始网络流量 (PCAP) 中提取并标记了60个特征,并提供了CSV文件.
主要成果:
- ICS-NAD数据集包含245.96GB的数据,包括原始流量和标记的特征.
- 经过验证的数据集实用程序与10个机器学习和深度学习分类模型.
- 证明了数据集适用于训练和测试入侵检测系统的适用性.
结论:
- ICS-NAD解决了现有数据集的局限性,为ICS网络安全提供了宝贵的资源.
- 该数据集支持工业控制系统 (ICS) 网络攻击检测的学术和工程研究.
- 公共可用性ICS-NAD促进了在确保工业4.0基础设施的进步.
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