No more counterfeited goods (NoFAKES)

Interdisciplinary Research Group in Socio-technical Cybersecurity

No more counterfeited goods (NoFAKES)

NOFAKEs Authentication Technology focuses on the development of algorithms to capture, extract, and process the encoded information from Cholesteric Spherical Reflectors (CSRs). CSRs produce unpredictable and unique optical reflection patterns when coated on transparent and flat surfaces.

Technologies that offer unclonable properties are envisioned for a wide range of applications, including verifying the authenticity of objects, identification protocols, access control, electronic document management, etc. CSR tags can be potentially used for anti-counterfeit purposes because of their fingerprint-like attributes. The extraction of robust information, as well as authentication protocols, are key components to defining whether an object is authentic or not.

NOFAKES project has a close collaboration with the Experimental Soft Matter Physics 
(ESMP) group from the Physics & Materials Science Research Unit at the University of Luxembourg. We have also established industrial collaborations with companies that are interested in implementing anti-counterfeiting technologies, and companies that already use some anti-counterfeiting technologies, but are interested in testing other novel solutions.

Partner companies:

  • United Caps – packaging industry, Luxemburg-based company I.G.
  • Bressan – pharmaceutical packaging sector, based in Italy.
Financial Research Institutions
FNR Luxembourg logo



A Secure Authentication Protocol for Cholesteric Spherical Reflectors using Homomorphic Encryption
Mónica P. Arenas, Muhammed Ali Bingol, Hüseyin Demirci, Georgios Fotiadis, Gabriele Lenzini
AFRICACRYPT: 13th International Conference on Cryptology in Africa
Our paper published in the journal Machine Learning Knowledge Extraction, was selected as the cover page of Volume 4, Issue 1.
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
Mónica P. Arenas , Hüseyin Demirci and Gabriele Lenzini
Machine Learning & Knowledge Extraction, selected as the cover page of Volume 4, Issue 1.
Cholesteric Spherical Reflectors as Physical Unclonable Identifiers in Anti-counterfeiting
Mónica P. Arenas , Hüseyin Demirci and Gabriele Lenzini
International Conference on Availability, Reliability and Security (ARES)
Cholesteric Liquid Crystal Shells as Enabling Material for Information-Rich Design and Architecture
Mathew Schwartz, Gabriele Lenzini, Yong Geng, Peter B. Rønne, Peter Y. A. Ryan, Jan P. F. Lagerwall
Advanced Materials
Security in the Shell : An Optical Physical Unclonable Function made of Shells of Cholesteric Liquid Crystals
Gabriele Lenzini ; Samir Ouchani ; Peter Roenne ; Peter Y. A. Ryan ; Yong Geng ; Jan Lagerwall ; Noh Junghyun
2017 IEEE Workshop on Information Forensics and Security (WIFS)

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