Recently, a new type of Radio Frequency IDentification （RFID） system with mobile readers is introduced. In such a system, it is more desirable for mobile readers to identify tags without a back-end server, and thus ...Recently, a new type of Radio Frequency IDentification （RFID） system with mobile readers is introduced. In such a system, it is more desirable for mobile readers to identify tags without a back-end server, and thus it is frequently referred as a serverless mobile RFID system. In this paper, we formalize a serverless mobile RFID system model and propose a new encryption-based system that preserves the privacy of both tags and readers in the model. In addition, we define a new adversary model for the system model and show the security of the proposed system. Throughout comparisons between ours and the other alternatives, we show that our proposed system provides a stronger reader privacy and robustness against a reader forgery attack than the competitors.展开更多
基金Supported in part by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program (No. NIPA-2012-H0301-12-4004)supervised by the NIPA (National IT Industry Promotion Agency)+1 种基金supported in part by US National Science Foundation (NSF) CREST (No. HRD-0833184)US Army Research Office (ARO) (No.W911NF-0810510)
文摘Recently, a new type of Radio Frequency IDentification （RFID） system with mobile readers is introduced. In such a system, it is more desirable for mobile readers to identify tags without a back-end server, and thus it is frequently referred as a serverless mobile RFID system. In this paper, we formalize a serverless mobile RFID system model and propose a new encryption-based system that preserves the privacy of both tags and readers in the model. In addition, we define a new adversary model for the system model and show the security of the proposed system. Throughout comparisons between ours and the other alternatives, we show that our proposed system provides a stronger reader privacy and robustness against a reader forgery attack than the competitors.
