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Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures

Erozan, Ahmet Turan 1; Hefenbrock, Michael 2; Gnad, Dennis R. E. 1; Beigl, Michael 2; Aghassi-Hagmann, Jasmin ORCID iD icon 3; Tahoori, Mehdi B. 1
1 Institut für Technische Informatik (ITEC), Karlsruher Institut für Technologie (KIT)
2 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
3 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)


Printed Electronics (PE) based on additive manufacturing has a rapidly growing market. Due to large feature sizes and reduced complexity of PE applications compared to silicon counterparts, they are more prone to counterfeiting. Common solutions to detect counterfeiting insert watermarks or extract unique fingerprints based on (irreproducible) process variations of valid components. Commonly, such fingerprints have been extracted through electrical methods, similar to those of physically unclonable functions (PUFs). Hence, they introduce overhead to the production resulting in additional costs. While such costs may be negligible for application domains targeted by silicon-based technologies, they are detrimental to the ultra-low-cost PE applications. In this paper, we propose an optical unique identification, by extracting fingerprints from the optically visible variations of printed inks in the PE components. The images can be obtained from optical cameras, such as cell phones, thanks to large feature sizes of PE, by trusted parties, such as an end user wanting to verify the authenticity of a particular product. Since this approach does not require any additional circuitry, the fingerprint production cost consists of merely acquisition, processing and saving an image of the circuit components, matching the requirements of ultra-low-cost applications of PE. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000151813
Veröffentlicht am 04.11.2022
DOI: 10.1109/ACCESS.2022.3209241
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Institut für Technische Informatik (ITEC)
Institut für Telematik (TM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2169-3536
KITopen-ID: 1000151813
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in IEEE Access
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Band 10
Seiten 105910–105919
Nachgewiesen in Dimensions
Web of Science
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