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25] Y. Oren and A. Shamir. Power analysis of rfid tags, 2006. il/ ∼yossio/rfid/. [26] D. Nolan. Internet technologies in a converged network environment. NCS Technical Information Bulletin 04-2, 2004. [27] L. Bolotnyy and G. Robins. Generalized ‘yoking proofs’ for a group of radio frequency identification tags. In International Conference on Mobile and Ubiquitous Systems (Mobiquitous), San Jose, CA, July 2006. [28] A. Juels. “yoking-proofs” for RFID tags. In R. Sandhu and R. ), International Workshop on Pervasive Computing and Communication Security, pp.

11] G. Marsaglia. Choosing a point from the surface of a sphere. Annals of Mathematical Statistics, 43(2):645– 646, 1972. [12] M. Reynolds. The physics of RFID, 2003. id=rfid privacy-2003-11-15-1. [13] L. Bolotnyy and G. Robins. Multi-tag radio frequency identification systems. In Proceedings of the IEEE Workshop on Automatic Identification Advanced Technologies (Auto-ID), pp. 83–88, Buffalo, NY, October 2005. [14] E. Schuster, T. Scharfeld, P. Kar, D. Brock, and S. Allen. Analyzing the rfid tag read rate issue.

In a multi-tag scenario, one tag can counterbalance the power budget of the other tag by operating in an “opposite” mode, thus preventing simple power analysis, and consequently preventing the discovery of a kill password by an adversary. 3 SPLITTING ID AMONG MULTI-TAGS Another technique to prevent accurate adversarial inventorization is the splitting of the tag ID/data into several parts, and distribute these parts among multi-tags. The multi-tags can transmit the data to the readers at different frequencies using code division multiple access, making it difficult for an adversary to reconstruct the complete signal (tag ID/data).

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Accurately measure flammable gases by Holkom B.


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