Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing

Autor:	Moore, Samuel B., Gatlin, Jacob, Belikovetsky, Sofia, Yampolskiy, Mark, King, Wayne E., Elovici, Yuval
Rok vydání:	2017
Předmět:	Computer Science - Cryptography and Security
Druh dokumentu:	Working Paper
Popis:	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%. Comment: Accepted as poster at RAID 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1709.01822 Zobrazit plný text záznamu View this record from Arxiv