Faculty of Management, Department of Natural Resource and Environmental Management, University of Haifa, Haifa, Israel.
Faculty of Management, Department of Natural Resource and Environmental Management, University of Haifa, Haifa, Israel.
Water Res. 2018 Aug 1;139:132-143. doi: 10.1016/j.watres.2018.03.039. Epub 2018 Mar 17.
Modern Water Distribution Systems (WDSs) are often controlled by Supervisory Control and Data Acquisition (SCADA) systems and Programmable Logic Controllers (PLCs) which manage their operation and maintain a reliable water supply. As such, and with the cyber layer becoming a central component of WDS operations, these systems are at a greater risk of being subjected to cyberattacks. This paper offers a model-based methodology based on a detailed hydraulic understanding of WDSs combined with an anomaly detection algorithm for the identification of complex cyberattacks that cannot be fully identified by hydraulically based rules alone. The results show that the proposed algorithm is capable of achieving the best-known performance when tested on the data published in the BATtle of the Attack Detection ALgorithms (BATADAL) competition (http://www.batadal.net).
现代供水管网系统（WDS）通常由监控和数据采集（SCADA）系统和可编程逻辑控制器（PLC）控制，以管理其运行并保持可靠的供水。因此，随着网络层成为 WDS 运行的核心组成部分，这些系统面临着更大的网络攻击风险。本文提出了一种基于模型的方法，该方法基于对 WDS 的详细水力理解，并结合异常检测算法，用于识别仅通过水力规则无法完全识别的复杂网络攻击。结果表明，在所发布的数据集上进行测试时，该算法在 BATtle of the Attack Detection ALgorithms（BATADAL）竞赛（http://www.batadal.net）中表现出了最佳性能。
