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
Link To Document :
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