The design of an electronic pedigree system for food safety
The problem of food safety is a critical issue in recent years. To address the issue, the technologies of the Internet of Things are used to offer the possibilities to easily track the processes in the production, storage, transportation, sale, and even using phases of foods. This paper, therefore, introduces the design of an electronic pedigree system for food safety, which uses electronic pedigrees to enhance the safety of food supply. The system implements an extension of the pedigree standard of EPCglobal, and offers a more trustworthily tracking service to monitor and supervise the production and supply of food. We discuss the key issues of the design, and implement a prototype to evaluate the feasibility of the design. Finally, we analyze the trustworthiness assurance and security of our electronic pedigree system.
KeywordsElectronic pedigree Food safety Internet of things Trustworthiness
This paper is supported by the 863 project (Grant NO: 2011AA100701), the Project-sponsored by SRF for ROCS, SEM, and the project of Natural Science Foundation of Shanghai (Grant NO: 12ZR1402600). The corresponding author is Lirong Zheng. The documents can be viewed at http://crypto.fudan.edu.cn/epedigree/homepage.html. Thank Ms. Min Li for her English polish.
- Boldyreva, A., Fischlin, M., Palacio, A., & Warinschi, B. (2007). A closer look at PKI: security and efficiency. PKC 2007 (LNCS 4450), 458–475.Google Scholar
- EPCglobal. (2007). Pedigree ratified standard, 2007, http://www.gs1.org/gsmp/kc/epcglobal/pedigree/pedigree_1_0-standard-20070105.pdf. Accessed April 2012.
- GS1. (2011a). The global language of business, 2011, http://www.gs1.org/. Access April 2012.
- GS1. (2011b). EPCIS - EPC Information Services Standard, 2011, http://www.gs1.org/gsmp/kc/epcglobal/epcis. Access April 2012.
- Gu, Y., & Jing, T. (2011). The IOT research in supply chain management of fresh agricultural products. In: Proceedings of the 2nd international conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) (7382–7385).Google Scholar
- Kwok, S., Tsang, A., Ting, J., Cheung, W., & Cheung, B. (2008). An intelligent RFID-based Electronic Anti-Counterfeit System (InRECS) for the manufacturing industry. In: Proceedings of the 17th world congress the international federation of automatic control. Seoul, Korea.Google Scholar
- MITRE. (2004). Horizontal Integration: broader access models for realizing information dominance. JASON Report, JSR–04–132.Google Scholar
- Pan, G., Qi, G., Wu, Z., Zhang, D., & Li, S. (2012). Land-use classification using taxi GPS traces. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2012.2209201.
- Shon, T., & Choi, W. (2007). An analysis of mobile WiMAX security: vulnerabilities and Solutions. Network-based information systems (LNCS 4658), 88–97.Google Scholar
- Tan, C., & Li, Q. (2006). A robust and secure RFID-based pedigree system. In: Proceedings of the 8th international conference on information and communications security (LNCS 4307) (21–29).Google Scholar
- Thompson, C. (2004). Radio frequency tags for identifying legitimate drug products discussed by tech industry. American Journal of Health-System Pharmacy, 1430.Google Scholar
- Yin, J., Zhang, X., Lu, Q., Xin, C., Liu, C., & Chen, Z. (2011). IOT based provenance platform for vegetables supplied to Hong Kong. Recent Advances in CSIE 2011 (LNEE 127), 591–596.Google Scholar
- Zheng, L., Zhang, H., Han, W., Zhou, X., He, J., Zhang, Z., Gu, Y., & Wang, J. (2011). Technologies, applications, and governance in the Internet of Things. In: Internet of things - Global technological and societal trends. From smart environments and spaces to green ICT. River Publishers.Google Scholar