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WADI: a water distribution testbed for research in the design of secure cyber physical systems

Authors:

Chuadhry Mujeeb Ahmed,

Venkata Reddy Palleti,

Aditya P. MathurAuthors Info & Claims

CySWATER '17: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks

Pages 25 - 28

https://doi.org/10.1145/3055366.3055375

Published: 21 April 2017 Publication History

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Abstract

The architecture of a water distribution testbed (WADI), and on-going research in the design of secure water distribution system is presented. WADI consists of three stages controlled by Programmable Logic Controllers (PLCs) and two stages controlled via Remote Terminal Units (RTUs). Each PLC and RTU uses sensors to estimate the system state and the actuators to effect control. WADI is currently used to (a) conduct security analysis for water distribution networks, (b) experimentally assess detection mechanisms for potential cyber and physical attacks, and (c) understand how the impact of an attack on one CPS could cascade to other connected CPSs. The cascading effects of attacks can be studied in WADI through its connection to two other testbeds, namely for water treatment and power generation and distribution.

References

[1]

ICS CERT 2014. 2014. ICS-MM201408: May--August 2014. Technical Report. U.S. Department of Homeland Security-Industrial Control Systems-Cyber Emergency Response Team. https://ics-cert.us-cert.gov

Google Scholar

[2]

Sridhar Adepu and Aditya Mathur. 2016. Distributed Detection of Single-Stage Multipoint Cyber Attacks in a Water Treatment Plant. In 11th ACM on Asia Conference on Computer and Communications Security. ACM, China, 449--460.

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Google Scholar

[3]

S. Adepu and A. Mathur. 2016. Generalized Attacker and Attack Models for Cyber Physical Systems. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). IEEE Computer Society, Washington, DC, 283--292.

Google Scholar

[4]

Alaeddin Bobat, Tolga Gezgin, and Haeseyin Aslan. 2015. The SCADA system applications in management of Yuvacik Dam and Reservoir. Desalination and Water Treatment 54, 8 (2015), 2108--2119.

Crossref

Google Scholar

[5]

Edward A. Lee. 2008. Cyber Physical Systems: Design Challenges. Technical Report UCB/EECS-2008-8. EECS Department, University of California, Berkeley. http://www2.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-8.html

Google Scholar

[6]

A.P. Mathur and N.O. Tippenhauer. April, 2016. SWaT: A water treatment testbed for research and training on ICS security. In International Workshop on Cyber-physical Systems for Smart Water Networks. IEEE, Vienna, Austria.

Google Scholar

[7]

Jill Slay and Michael Miller. 2008. Lessons Learned from the Maroochy Water Breach. In Critical Infrastructure Protection, Eric Goetz and Sujeet Shenoi (Eds.). Springer US, Boston, MA, 73--82.

Google Scholar

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Index Terms

WADI: a water distribution testbed for research in the design of secure cyber physical systems
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Sensors and actuators
2. Security and privacy
  1. Intrusion/anomaly detection and malware mitigation

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Published In

CySWATER '17: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks

April 2017

52 pages

ISBN:9781450349758

DOI:10.1145/3055366

Conference Chairs:
Panagiotis Tsakalides
University of Crete & Institute of Computer Science, Foundation for Research and Technology-Hellas, GR
,
Baltasar Beferull-Lozano
University of Agder, NO

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Association for Computing Machinery

New York, NY, United States

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Published: 21 April 2017

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CPS Week '17

CPS Week '17: Cyber Physical Systems Week 2017

April 21, 2017

Pennsylvania, Pittsburgh

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https://doi.org/10.3390/math12172612
Kim HJoe I(2024)Enhancing Anomaly Detection in Maritime Operational IoT Time Series Data with Synthetic OutliersElectronics10.3390/electronics1319391213:19(3912)Online publication date: 3-Oct-2024
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Huang YLiu WLi SGuo YChen W(2024)MGAD: Mutual Information and Graph Embedding Based Anomaly Detection in Multivariate Time SeriesElectronics10.3390/electronics1307132613:7(1326)Online publication date: 1-Apr-2024
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Liu WYan LMa NWang GMa XLiu PTang R(2024)Unsupervised Deep Anomaly Detection for Industrial Multivariate Time Series DataApplied Sciences10.3390/app1402077414:2(774)Online publication date: 16-Jan-2024
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Defending Cyber-Physical Attacks on Oil Pipeline Systems: A Game-Theoretic Approach

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