M2M using OPC UA

Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. The introduction of the Internet of Things (IoT) in industrial processes represents a new Internet revolution, mostly known as 4\textsuperscript{th} Industrial Revolution, towards the Smart Manufacturing concept. Despite the huge interest from the industry side to innovate their production systems, in order to increase revenues at lower costs, the IoT concept is still immature and fuzzy, which increases security related risks in industrial systems. This dataset was generated by implementing and injecting various attacks on a OPC UA based CPPS testbed, and it aim to enable users to evaluate the effectiveness of different techniques for developed Intrusion Detection Systems (IDS) in the manufacturing context.信息物理生产系统（Cyber-Physical Production Systems，CPPS）是支撑工业企业发展与经济增长的关键赋能技术。物联网（Internet of Things，IoT）在工业流程中的部署，标志着一场全新的互联网变革——即被广泛称为第四次工业革命的浪潮，正朝着智能制造（Smart Manufacturing）理念演进。尽管工业界为实现降本增收，对革新自身生产系统抱有极高的积极性，但物联网概念仍未成熟且界定模糊，这进一步加剧了工业系统的安全相关风险。本数据集通过在基于OPC UA的信息物理生产系统测试床中实施并注入多种攻击生成，旨在帮助用户评估面向制造场景的入侵检测系统（Intrusion Detection Systems，IDS）各类技术的实际效能。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于工业控制系统中OPC UA通信的安全问题，通过模拟DoS、MITM和Spoofing攻击生成异常行为数据，旨在支持入侵检测系统的开发与评估。数据集以CSV格式提供，包含107,634个实例，每个实例具有32个特征，覆盖正常和攻击场景。