PDF] Power Consumption-based Detection of Sabotage Attacks in
Por um escritor misterioso
Last updated 25 março 2025
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This work proposes a novel approach for detecting sabotage attacks in additive Manufacturing, based on continuous monitoring of the current delivered to all actuators during the manufacturing process and detection of deviations from a provable benign process. Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to manufacture functional parts of safety-critical systems. AM's dependence on computerization raises the concern that the AM process can be tampered with, and a part's mechanical properties sabotaged. This can lead to the destruction of a system employing the sabotaged part, causing loss of life, financial damage, and reputation loss. To address this threat, we propose a novel approach for detecting sabotage attacks. Our approach is based on continuous monitoring of the current delivered to all actuators during the manufacturing process and detection of deviations from a provable benign process. The proposed approach has numerous advantages: (i) it is non-invasive in a time-critical process, (ii) it can be retrofitted in legacy systems, and (iii) it is airgapped from the computerized components of the AM process, preventing simultaneous compromise. Evaluation on a desktop 3D Printer detects all attacks involving a modification of X or Y motor movement, with false positives at 0%.
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A novel cyber‐attack modelling and detection in overcurrent protection relays based on wavelet signature analysis - Yousefi kia - 2023 - IET Generation, Transmission & Distribution - Wiley Online Library
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Classifying RFID attacks and defenses
![PDF] Power Consumption-based Detection of Sabotage Attacks in](https://senstar.com/wp-content/uploads/substation-protection-banner-01-tinified.png)
Protecting Electrical Substations Against Sabotage and Terrorism - Senstar
![PDF] Power Consumption-based Detection of Sabotage Attacks in](https://www.mdpi.com/sensors/sensors-22-04662/article_deploy/html/images/sensors-22-04662-g001-550.jpg)
Sensors, Free Full-Text
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A cluster-based trusted routing method using fire hawk optimizer (FHO) in wireless sensor networks (WSNs)
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Cyber Operations during the Russo-Ukrainian War
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PDF) Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing
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PDF) A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things
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Attacks detection and decision framework based on generative adversarial network approach: Case of vehicular edge computing network - Sedjelmaci - 2022 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
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