• DocumentCode
    2809272
  • Title

    Anti-counterfeiting with a Random Pattern

  • Author

    Chong, Cheun Ngen ; Jiang, Dan ; Zhang, Jiagang ; Guo, Long

  • Author_Institution
    Philips Res. Asia Shanghai, Shanghai
  • fYear
    2008
  • fDate
    25-31 Aug. 2008
  • Firstpage
    146
  • Lastpage
    153
  • Abstract
    Anti-counterfeiting is a global problem. Brand owners turn to advanced anti-counterfeiting techniques to seek for a good technical solution. An anti-counterfeiting system normally binds a product with a digital identifier, which per se is encoded by a physical identifier. The physical identifier then is attached with the product. If the physical identifier is cloneable or reusable, the counterfeit products could easily cheat the anti-counterfeiting system. In this paper, we propose an anti-counterfeiting system applying physical uncloneable function (PUF) as the physical identifier. We use a random pattern formed by scattering particles as PUF and we encode the digital identifier in the random pattern. The randomness makes the pattern utmost difficult to be physically cloned. The contributions of this paper are two-fold: (1) a method to encode and decode the digital identifier in the random pattern is proposed, and (2) a user-friendly anti-counterfeiting system using PUF is built.
  • Keywords
    identification technology; industrial property; security of data; anticounterfeiting; counterfeit product; digital identifier; physical identifier; physical uncloneable function; random pattern; Counterfeiting; Cryptography; Decoding; Humans; Packaging; Particle scattering; Pharmaceuticals; Protection; RFID tags; Radiofrequency identification; anti-counterfeiting; phosphor; physical uncloneable function; random pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Information, Systems and Technologies, 2008. SECURWARE '08. Second International Conference on
  • Conference_Location
    Cap Esterel
  • Print_ISBN
    978-0-7695-3329-2
  • Electronic_ISBN
    978-0-7695-3329-2
  • Type

    conf

  • DOI
    10.1109/SECURWARE.2008.12
  • Filename
    4622575