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Industrial Control Systems (ICS) are the brain and backbone of nation's critical infrastructure such as nuclear power, water treatment, and petrochemical plants. In order to increase interoperability, real-time availability of data, and flexibility, information/communication technologies are adopted in this domain. While these information technologies have been effective, they are integrated into operational technologies without the necessary security defense. Designing an effective, layered security defense is not possible unless security threats are identified through a structural analysis of the ICS. For that reason, this paper provides an attacker's point of view on the reconnaissance effort necessary to gather details of the system dynamics - which are required for the development of sophisticated attacks. We present a reconnaissance approach which uses the system's I/O data to infer the dynamic model of the system. In this effort, we propose a novel cyber-attack which targets the controller proportional-integral-derivative gain values in a constant setpoint control system. Our findings will help researchers design more secure control systems.
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Designing community-based intelligent systems for water infrastructure resilience
In this paper, we discuss how data-driven approaches using emerging IoT and machine learning based analytics can revolutionize the resilience and ef=iciency of urban water systems. Key challenges in creating a next generation water infrastructure includes issues of how and where to place instruments to gather a wide variety of information useful for improving operational ef=iciencies and for damage detection after major disasters. We discuss how an understanding of deployed infrastructure in diverse geographies and the dynamics of interconnected systems can help design more effective placement of technology solutions. We showcase recent work illustrating how knowledge of network structures and their behavior can help to more effectively instrument and gather operational data and how AI-based approaches utilizing geospatial data more effectively can help to maintain real-time awareness of system states which allows decision makers to more effectively monitor and control their systems.
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- Award ID(s):
- 1952247
- PAR ID:
- 10311279
- Date Published:
- Journal Name:
- In 3rd ACM SIGSPATIAL Workshop on Advances in Resilient and Intelligent Cities (ARIC’20), November 3–6, 2020, Seattle, WA, USA. ACM, New York, NY, USA,
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3423455.3430318
