• DocumentCode
    3154548
  • Title

    Industrial Privacy in RFID-based Batch Recalls

  • Author

    Chaves, Leonardo Weiss Ferreira ; Kerschbaum, Florian

  • Author_Institution
    SAP Res., Karlsruhe
  • fYear
    2008
  • fDate
    16-16 Sept. 2008
  • Firstpage
    192
  • Lastpage
    198
  • Abstract
    Batch recalls are an important topic for manufacturers and producers. Especially in the food and in the pharmaceutical industry, producers are obliged to implement recalls in order to comply with legislation. In extreme cases, non-compliance can cause loss of life, e.g. when perished food or medicine reaches the consumer. Current batch recall practice is expensive and difficult, since many supply chain partners need to combine the data from their ERP systems. Radio frequency identification (RFID) can be used to efficiently implement batch recalls, e.g. by storing batch numbers from the parts/ingredients used in all manufacturing steps. But this raises concerns on industrial privacy, since competitors could use this information to gain insight into the whole supply chain. We overcome this problem by storing tracing information on RFID tags and encrypting the information, such that it is only available in case of a recall. We encrypt the information using identity based encryption and furthermore allow universal re-encryption along the supply chain to prevent information leakages from the ciphertexts.
  • Keywords
    cryptography; enterprise resource planning; radiofrequency identification; supply chain management; ERP systems; RFID tags; batch numbers; batch recalls; ciphertexts; identity-based encryption; industrial privacy; information leakages; radio frequency identification; supply chain partners; tracing information; universal reencryption; Enterprise resource planning; Food industry; Food manufacturing; Identity-based encryption; Legislation; Manufacturing industries; Pharmaceuticals; Privacy; Radiofrequency identification; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops, 2008 12th
  • Conference_Location
    Munich
  • Print_ISBN
    978-0-7695-3720-7
  • Type

    conf

  • DOI
    10.1109/EDOCW.2008.37
  • Filename
    4815017