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Linearization of Multi-Valued Nonlinear Feedback Shift Registers 被引量:3
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作者 WANG Haiyan ZHONG Jianghua LIN Dongdai 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2017年第2期494-509,共16页
Nonlinear feedback shift registers(NFSRs) have been used in many stream ciphers for cryptographic security. The linearization of NFSRs is to describe their state transitions using some matrices. Such matrices are call... Nonlinear feedback shift registers(NFSRs) have been used in many stream ciphers for cryptographic security. The linearization of NFSRs is to describe their state transitions using some matrices. Such matrices are called their state transition matrices. Compared to extensive work on binary NFSRs, much less work has been done on multi-valued NFSRs. This paper uses a semi-tensor product approach to investigate the linearization of multi-valued NFSRs, by viewing them as logical networks. A new state transition matrix is found for a multi-valued NFSR, which can be simply computed from the truth table of its feedback function. The new state transition matrix is easier to compute and is more explicit than the existing results. Some properties of the state transition matrix are provided as well, which are helpful to theoretically analyze multi-valued NFSRs. 展开更多
关键词 Logic network nonlinear feedback shift register semi-tensor product state transition matrix stream ciphers.
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