Review of Modeling Methodologies for Managing Water Distribution Security

Autor: M. Ehsan Shafiee, Terranna Haxton, Jorge E. Pesantez, Lina Sela, Emily Zechman Berglund, Amin Rasekh

Publikováno v: J Water Resour Plan Manag

Water distribution systems are vulnerable to hazards that threaten water delivery, water quality, and physical and cybernetic infrastructure. Water utilities and managers are responsible for assessing and preparing for these hazards, and researchers

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2684dd5c69be8b532fcb95907aca1add
https://doi.org/10.1061/(asce)wr.1943-5452.0001265

Enhancing water system models by integrating big data

Autor: Zachary Barker, M. Ehsan Shafiee, Amin Rasekh

Publikováno v: Sustainable Cities and Society. 37:485-491

The past quarter century has witnessed development of advanced modeling approaches, such as stochastic and agent-based modeling, to sustainably manage water systems in the presence of deep uncertainty and complexity. However, all too often data input

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da052ca18a6103285a7f41ace08f90ec
https://doi.org/10.1016/j.scs.2017.11.042

Streaming Sensor Data Validation in Networked Infrastructure Systems through Synergic Auto and Cross Similarity Discovery and Analysis

Autor: Amin Rasekh, Lu Xing, Ami Preis, M. Ehsan Shafiee, Lina Sela

Publikováno v: Computing in Civil Engineering 2019.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b6a14cf00aedc7d12978068a7fdd734
https://doi.org/10.1061/9780784482445.044

Battle of the Attack Detection Algorithms:Disclosing cyber attacks on water distribution networks

Autor: Stefano Galelli, David Ayala-Cabrera, Ziv Ohar, Nils Ole Tippenhauer, Enrique Campbell, Riccardo Taormina, Ahmad F. Taha, Demetrios G. Eliades, Sarin E. Chandy, Amin Rasekh, Bruno Melo Brentan, Bruce Campbell, Bijay Kc, Gustavo Meirelles Lima, Nikolaos Gatsis, Mohsen Pourahmadi, M. Katherine Banks, Raanju R. Sundararajan, Mohsen Aghashahi, Avi Ostfeld, M. Fayzul K. Pasha, Marcio Giacomoni, Manuel Herrera, Zachary A. Barker, Edevar Luvizotto, Kelsey Haddad, Mashor Housh, Cynthia S. Lo, Ahmed A. Abokifa, Joaquín Izquierdo, Saravanakumar Lakshmanan Somasundaram, Elad Salomons, Idel Montalvo, Pratim Biswas, Daniel Manzi, M. Ehsan Shafiee

Publikováno v: Taormina, R, Galelli, S, Tippenhauer, N O, Salomons, E, Ostfeld, A, Eliades, D G, Aghashahi, M, Sundararajan, R, Pourahmadi, M, Banks, M K, Brentan, B M, Campbell, E, Lima, G, Manzi, D, Ayala-Cabrera, D, Herrera, M, Montalvo, I, Izquierdo, J, Luvizotto, E, Chandy, S E, Rasekh, A, Barker, Z A, Campbell, B, Shafiee, M E, Giacomoni, M, Gatsis, N, Taha, A, Abokifa, A A, Haddad, K, Lo, C S, Biswas, P, Fayzul, M, Kc, B, Somasundaram, S L, Housh, M & Ohar, Z 2018, ' Battle of the Attack Detection Algorithms : Disclosing cyber attacks on water distribution networks ', Journal of Water Resources Planning and Management, vol. 144, no. 8, 04018048 . https://doi.org/10.1061/(ASCE)WR.1943-5452.0000969
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis Symposium. The goal of the battle was to compare the pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6d497458a8ef006efde66c15cbca9ed
https://purehost.bath.ac.uk/ws/files/184221771/BATADALmanuscript1.pdf

Cyberattack Detection using Deep Generative Models with Variational Inference

Autor: M. Ehsan Shafiee, Amin Rasekh, Sarin E. Chandy, Zachary A. Barker

Recent years have witnessed a rise in the frequency and intensity of cyberattacks targeted at critical infrastructure systems. This study designs a versatile, data-driven cyberattack detection platform for infrastructure systems cybersecurity, with a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1753d441ba134d4b81bd1467ac57faa