Title: PRODUCT PIRACY PREVENTION: PRODUCT COUNTERFEIT DETECTION WITHOUT SECURITY LABELS

Issue Number: Vol. 2, No. 1
Year of Publication: March - 2013
Page Numbers: 88-102
Authors: Christian Horn, Matthias Blankenburg, Maximilian Fechteler, Jorg Kruger
Journal Name: International Journal of Cyber-Security and Digital Forensics (IJCSDF)
- Hong Kong

Abstract:


Counterfeiting is a challenge to companies, customers and markets all over the world. Besides the economic damage which affects in particular the companies and countries that use advanced production and manufacturing processes based on intensive research and development to produce high quality goods, safety standards are omitted. These standards protect usually the customer from goods which are dangerous or harzardous to health. Product piracy prevention is often followed by the application of RFID tags to supervise supply chains. The lack of robust counterfeit detection methods created a market for artificial security labels which are used to secure the product itself. The specific conditions of production, manufacturing technologies and materials generate specific features, which identify every product uniquely. The innovation of this text is the detection of these features in an automated fashion through the combination of digital sensing and machine learning, rendering the application of artificial security labels obsolete.