Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels
This study explores the synthesis of covert sensor-actuator attacks within networked discrete-event systems (DES) within non-FIFO channels. These systems operate in environments where both the observation and control channels are subject to random but bounded network-induced delays. To address this...
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Nanyang Technological University
2025
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sg-ntu-dr.10356-1824602025-02-07T15:48:16Z Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels Wang Siyi Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering This study explores the synthesis of covert sensor-actuator attacks within networked discrete-event systems (DES) within non-FIFO channels. These systems operate in environments where both the observation and control channels are subject to random but bounded network-induced delays. To address this challenge, we propose a novel methodology that reformulates the covert attack synthesis problem into the well-established Ramadge-Wonham supervisor synthesis framework. This simplification allows for a systematic approach to model and analyze covert attacks in both damage-reachable and damage-nonblocking scenarios. Furthermore, we extend our analysis to special cases where actuator attacks are absent, causing the sensor-actuator attack model to reduce solely to sensor-based attacks. In this scenario, we prove that if any covert sensor attack is feasible, the supremal covert sensor attack is guaranteed to exist within the networked DES. This result highlights the significance of considering both sensor and actuator vulnerabilities in the networked control systems. Master's degree 2025-02-03T12:30:58Z 2025-02-03T12:30:58Z 2025 Thesis-Master by Coursework Wang Siyi (2025). Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/182460 https://hdl.handle.net/10356/182460 en application/pdf Nanyang Technological University |
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Engineering Wang Siyi Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
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This study explores the synthesis of covert sensor-actuator attacks within networked discrete-event systems (DES) within non-FIFO channels. These systems operate in environments where both the observation and control channels are subject to random but bounded network-induced delays. To address this challenge, we propose a novel methodology that reformulates the covert attack synthesis problem into the well-established Ramadge-Wonham supervisor synthesis framework. This simplification allows for a systematic approach to model and analyze covert attacks in both damage-reachable and damage-nonblocking scenarios. Furthermore, we extend our analysis to special cases where actuator attacks are absent, causing the sensor-actuator attack model to reduce solely to sensor-based attacks. In this scenario, we prove that if any covert sensor attack is feasible, the supremal covert sensor attack is guaranteed to exist within the networked DES. This result highlights the significance of considering both sensor and actuator vulnerabilities in the networked control systems. |
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Su Rong |
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Su Rong Wang Siyi |
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Thesis-Master by Coursework |
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Wang Siyi |
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Wang Siyi |
title |
Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
title_short |
Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
title_full |
Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
title_fullStr |
Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
title_full_unstemmed |
Synthesis of covert sensor-actuator attacker for networked DES with non-FIFO channels |
title_sort |
synthesis of covert sensor-actuator attacker for networked des with non-fifo channels |
publisher |
Nanyang Technological University |
publishDate |
2025 |
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https://hdl.handle.net/10356/182460 |
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1823807382269984768 |