Privacy and security in library RFID: issues, practices, and architectures
Proceedings of the 11th ACM conference on Computer and communications security
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A distributed architecture for scalable private RFID tag identification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient storage scheme and query processing for supply chain management using RFID
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
PRESENT: An Ultra-Lightweight Block Cipher
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
Scalable privacy protecting scheme through distributed RFID tag identification
Proceedings of the workshop on Applications of private and anonymous communications
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach
IEEE Transactions on Knowledge and Data Engineering
Computer Networks: The International Journal of Computer and Telecommunications Networking
Reducing time complexity in RFID systems
SAC'05 Proceedings of the 12th international conference on Selected Areas in Cryptography
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Radio frequency identification (RFID) is a technology aimed at efficiently identifying products that has greatly influenced the manufacturing businesses in recent years. Although the RFID technology has been widely accepted by the manufacturing and retailing sectors, there are still many issues regarding its scalability, security and privacy. With regard to privacy, the sharing of identification information amongst multiple parties is also an issue (especially after the massive outsourcing that is taking place in our global market). Securely and efficiently sharing identification information with multiple parties is a tough problem that must be considered so as to avert the undesired disclosure of confidential information. Specially in the context of supply chain management. In this article, we propose a private and scalable protocol for RFID collaborative readers to securely identify RFID tags. We define the general concepts of ''next reader predictor'' (NRP) and ''previous reader predictor'' (PRP) used by the readers to predict the trajectories of tags and collaborate efficiently. We also propose a specific Markov-based predictor implementation. By the very nature of our distributed protocol, the collaborative readers can naturally help in mitigating the problem of sharing identification information amongst multiple parties securely, which is essential in the context of supply chain management. The experimental results show that our proposal outperforms previous approaches.