{"title":"一种新的基于网络物理弹性的配水网络水质传感器布置策略","authors":"D. Nikolopoulos, C. Makropoulos","doi":"10.1080/1573062X.2023.2174032","DOIUrl":null,"url":null,"abstract":"ABSTRACT Water distribution networks (WDNs) employ contamination warning systems (CWS) with water quality sensors to detect water contamination. If some of these sensors are compromised during a contamination event, the consequences regarding public health can be devastating. With the emerging threat of cyber-attacks on critical infrastructure, WDNs are at risk of cyber-physical attacks that can deliberately contaminate water and concurrently mask the event by cyber-attacking sensors in the CWS. We develop a novel optimization strategy for the placement of water quality sensors that maximizes resilience under cyber-physical attack scenarios, suitable for designing a new sensor layout or upgrading an existing one. The resilient strategy is tested on multiple WDNs, focused on the upgrade problem. Results show improvement in the expected CWS detection performance under cyber-physical attacks, while the performance trade-off under nominal operation is minimal compared to classic strategies, hinting at a good design solution for cyber-wise water utilities.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"278 - 297"},"PeriodicalIF":1.6000,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel cyber-physical resilience-based strategy for water quality sensor placement in water distribution networks\",\"authors\":\"D. Nikolopoulos, C. Makropoulos\",\"doi\":\"10.1080/1573062X.2023.2174032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Water distribution networks (WDNs) employ contamination warning systems (CWS) with water quality sensors to detect water contamination. If some of these sensors are compromised during a contamination event, the consequences regarding public health can be devastating. With the emerging threat of cyber-attacks on critical infrastructure, WDNs are at risk of cyber-physical attacks that can deliberately contaminate water and concurrently mask the event by cyber-attacking sensors in the CWS. We develop a novel optimization strategy for the placement of water quality sensors that maximizes resilience under cyber-physical attack scenarios, suitable for designing a new sensor layout or upgrading an existing one. The resilient strategy is tested on multiple WDNs, focused on the upgrade problem. Results show improvement in the expected CWS detection performance under cyber-physical attacks, while the performance trade-off under nominal operation is minimal compared to classic strategies, hinting at a good design solution for cyber-wise water utilities.\",\"PeriodicalId\":49392,\"journal\":{\"name\":\"Urban Water Journal\",\"volume\":\"20 1\",\"pages\":\"278 - 297\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Water Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/1573062X.2023.2174032\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2174032","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
A novel cyber-physical resilience-based strategy for water quality sensor placement in water distribution networks
ABSTRACT Water distribution networks (WDNs) employ contamination warning systems (CWS) with water quality sensors to detect water contamination. If some of these sensors are compromised during a contamination event, the consequences regarding public health can be devastating. With the emerging threat of cyber-attacks on critical infrastructure, WDNs are at risk of cyber-physical attacks that can deliberately contaminate water and concurrently mask the event by cyber-attacking sensors in the CWS. We develop a novel optimization strategy for the placement of water quality sensors that maximizes resilience under cyber-physical attack scenarios, suitable for designing a new sensor layout or upgrading an existing one. The resilient strategy is tested on multiple WDNs, focused on the upgrade problem. Results show improvement in the expected CWS detection performance under cyber-physical attacks, while the performance trade-off under nominal operation is minimal compared to classic strategies, hinting at a good design solution for cyber-wise water utilities.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...