Research Article
Filtering Nonlinear Feedback Shift Registers using Welch-Gong Transformations for Securing RFID Applications
@ARTICLE{10.4108/eai.8-12-2016.151726, author={Kalikinkar Mandal and Guang Gong}, title={Filtering Nonlinear Feedback Shift Registers using Welch-Gong Transformations for Securing RFID Applications}, journal={EAI Endorsed Transactions on Security and Safety}, volume={3}, number={7}, publisher={EAI}, journal_a={SESA}, year={2016}, month={12}, keywords={Nonlinear feedback shift registers, pseudorandom sequence generators, stream ciphers,WG-7 stream cipher, RFID}, doi={10.4108/eai.8-12-2016.151726} }
- Kalikinkar Mandal
Guang Gong
Year: 2016
Filtering Nonlinear Feedback Shift Registers using Welch-Gong Transformations for Securing RFID Applications
SESA
EAI
DOI: 10.4108/eai.8-12-2016.151726
Abstract
Pseudorandom number generators play an important role to provide security and privacy on radio frequency identication (RFID) tags. In particular, the EPC Class 1 Generation 2 (EPC C1 Gen2) standard uses a pseudorandom number generator in the tag identication protocol. In this paper, we rst present a pseudorandom number generator family, we call it the ltering nonlinear feedback shift register using Welch-Gong (WG) transformations (ltering WG-NLFSR) and propose an instance of this family for EPC C1 Gen2 RFID tags. We then investigate the periodicity of a sequence generated by the ltering WG-NLFSR by considering the model, named nonlinear feedback shift registers using Welch-Gong (WG) transformations (WG-NLFSR). The periodicity of WG-NLFSR sequences is investigated in two ways. First, we perform the cycle decomposition of WG-NLFSR recurrence relations over dierent nite elds by computer simulations where the nonlinear recurrence relation is composed of a characteristic polynomial and a WG transformation module. Second, we conduct an empirical study on the period distribution of the sequences generated by the WG-NLFSR. The empirical study shows that a sequence with period bounded below by the square root of the maximum period can be generated by the WG-NLFSR with high probability for any initial state. Furthermore, we study the cycle structure and randomness properties of a composited recurrence relation and its sequences, respectively over nite elds.
Copyright © 2016 K. Mandal and G. Gong, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.