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 4th 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）是工业企业发展与经济增长的核心支撑技术。将物联网（Internet of Things, IoT）引入工业流程，堪称一场全新的互联网变革，即广为人知的第四次工业革命，其发展目标指向智能制造（Smart Manufacturing）理念。尽管工业界对革新自身生产系统抱有极高热忱，以期在压缩成本的同时提升营收，但物联网相关理念仍未成熟且边界模糊，这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各类攻击生成，旨在帮助用户评估在制造场景下，用于开发入侵检测系统（Intrusion Detection Systems, IDS）的各类技术的有效性。