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Inherent Id: A novel approach to detect counterfeit consumer goods using product inherent features

: Horn, Christian; Blankenburg, Matthias; Krüger, Jörg

Asia Pacific University of Technology and Innovation -APU-; Society of Digital Information and Wireless Communication -SDIWC-:
Second International Conference on Cyber Security, Cyber Peacefare and Digital Forensic, CyberSec 2013. Proceedings. CD-ROM : Held in Kuala Lumpur, Malaysia, on March 4-6, 2013
Kuala Lumpur: SDIWC, 2013
ISBN: 978-0-9853483-7-3
International Conference on Cyber Security, Cyber Peacefare and Digital Forensic (CyberSec) <2, 2013, Kuala Lumpur>
Conference Paper
Fraunhofer IPK ()
counterfeit detection; pattern recognition; electronic nose; image processing

Product-Piracy or counterfeiting is a well known problem which leads to economic damage that affects in particular countries that use advanced production and manufacturing processes based on intensive research and development to produce high quality goods. The existence of counterfeiting leads to the development of methods and technologies to secure high-quality products. The present way to secure top-quality products is often followed by an application of artificial security features. In this text we show a novel approach in detail to secure products against counterfeiting using features of the product itself instead of additional labels. The specific conditions of production, manufacturing technologies and materials generate specific features, which identify the product uniquely.