{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/122264"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/122264","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Electric ship digital twin : framework for cyber-physical system security","abstract":"This thesis presents a dynamic model that can be used for a digital twin of an electric ship. The model is an end-to-end simulation of a ship from prime mover to maneuvering, seakeeping, and propeller ventilation in random waves representing the behavior of a physical ship. There is a trend towards increasingly networked sensors and actuators to enable condition monitoring, ensure efficient operation, and allow for autonomy. However, a cyberattack on a networked control system presents not just the possibility of information theft but of physical system damage and loss of control. Thus, a detection scheme is proposed for cyber-physical systems using a joint unscented Kalman filter. It is employed to detect cyberattacks in the simulation model of an electric ship including sensor attacks and controller attacks on a gas turbine, synchronous generator, and automatic heading control. Finally, a system theoretic framework is presented for optimal sensor placement to minimize cyber vulnerability.","abstract_html":"This thesis presents a dynamic model that can be used for a digital twin of an electric ship. The model is an end-to-end simulation of a ship from prime mover to maneuvering, seakeeping, and propeller ventilation in random waves representing the behavior of a physical ship. There is a trend towards increasingly networked sensors and actuators to enable condition monitoring, ensure efficient operation, and allow for autonomy. However, a cyberattack on a networked control system presents not just the possibility of information theft but of physical system damage and loss of control. Thus, a detection scheme is proposed for cyber-physical systems using a joint unscented Kalman filter. It is employed to detect cyberattacks in the simulation model of an electric ship including sensor attacks and controller attacks on a gas turbine, synchronous generator, and automatic heading control. Finally, a system theoretic framework is presented for optimal sensor placement to minimize cyber vulnerability.","abstract_has_math":false,"creators":["Gilligan, Brian Kenneth."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Mechanical Engineering","school":null,"contributors":[],"advisors":["Michael S. Triantafyllou."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:21:56Z","subjects":["Mechanical Engineering."],"languages":["eng"],"rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/122264","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Michael S. Triantafyllou."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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The model is an end-to-end simulation of a ship from prime mover to maneuvering, seakeeping, and propeller ventilation in random waves representing the behavior of a physical ship. There is a trend towards increasingly networked sensors and actuators to enable condition monitoring, ensure efficient operation, and allow for autonomy. However, a cyberattack on a networked control system presents not just the possibility of information theft but of physical system damage and loss of control. Thus, a detection scheme is proposed for cyber-physical systems using a joint unscented Kalman filter. It is employed to detect cyberattacks in the simulation model of an electric ship including sensor attacks and controller attacks on a gas turbine, synchronous generator, and automatic heading control. Finally, a system theoretic framework is presented for optimal sensor placement to minimize cyber vulnerability."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M. in Naval Architecture and Marine Engineering"]},{"key":"dc:title","label":"Title","values":["Electric ship digital twin : framework for cyber-physical system security"]}]}],"canonical_facts":{"dc:contributor.advisor":["Michael S. Triantafyllou."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Mechanical Engineering","MechE"],"dc:contributor.other":["Massachusetts Institute of Technology. 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However, a cyberattack on a networked control system presents not just the possibility of information theft but of physical system damage and loss of control. Thus, a detection scheme is proposed for cyber-physical systems using a joint unscented Kalman filter. It is employed to detect cyberattacks in the simulation model of an electric ship including sensor attacks and controller attacks on a gas turbine, synchronous generator, and automatic heading control. Finally, a system theoretic framework is presented for optimal sensor placement to minimize cyber vulnerability."],"dc:description.degree":["S.M. in Naval Architecture and Marine Engineering"],"dc:identifier.uri":["https://hdl.handle.net/1721.1/122264"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. 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