ICS Cyber Attack Gas Pipeline and Water Storage Tank Datasets

The data sets include network traffic, process control and process measurement features from normal operations and attacks against the two SCADA systems. The data sets are stored in the Attribute Relationship File Format (ARFF) for use with the WEKA software. WEKA is a comprehensive framework that enables researchers to compare and verify machine learning algorithms. Four data sets were created as part of this research. Data Set I contains transactions from the gas pipeline system. Data Set II contains transactions from the water storage tank system. The two data sets were generated from network ?ow records captured with a serial port data logger.Two reduced size data sets were also created. Data Set III is a gas pipeline system data set, which was created by randomly selecting 10% of the instances in Data Set I. Likewise, Data Set IV is a water storage tank system data set,which was created by randomly selecting 10% of the instances in Data Set II.本数据集涵盖两类SCADA（Supervisory Control And Data Acquisition，监控与数据采集）系统在正常运行工况与攻击场景下的网络流量、过程控制及过程测量特征。数据集采用属性关系文件格式（Attribute Relationship File Format，简称ARFF）存储，可配合WEKA软件使用。WEKA软件是一款综合性研究框架，支持研究人员对比验证各类机器学习算法。本研究共构建四组数据集：数据集I包含天然气管道系统的样本数据；数据集II包含储水罐系统的样本数据。前述两组数据集均通过串口数据记录仪捕获的网络流记录生成。此外，本研究还构建了两组精简规模的数据集：数据集III为天然气管道系统数据集，通过随机抽取数据集I中10%的样本实例生成；同理，数据集IV为储水罐系统数据集，通过随机抽取数据集II中10%的样本实例生成。

搜集汇总

背景与挑战

背景概述

该数据集包含针对两个实验室规模工业控制系统（天然气管道和水储罐）的网络攻击数据，数据格式为ARFF，适用于WEKA软件进行机器学习算法比较。数据集包括四个子集：两个完整系统数据集和两个随机抽样的10%子集，涵盖网络流量、过程控制和测量特征，用于研究网络攻击对工业控制系统的影响。