PDF] Power Consumption-based Detection of Sabotage Attacks in
Por um escritor misterioso
Last updated 01 junho 2024
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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Physics-based detection of cyber-attacks in manufacturing systems: A machining case study - ScienceDirect
Three Ways to Hack a Printed Circuit Board - IEEE Spectrum
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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
PDF) Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing
Computers, Free Full-Text
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Computers, Free Full-Text
PDF) Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing
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