Abstract

Recently nonlinear feedback shift registers (NFSRs) have frequently been used as building blocks for designing stream ciphers. Let NFSR (g) be an m-stage NFSR with characteristic function $${g=x_{0}\oplus g_{1}(x_{1},\cdots ,x_{m-1})\oplus x_{m}}$$ . Up to now there has been no known method to determine whether the family of output sequences of the NFSR (g), denoted by S(g), contains a sub-family of sequences that are exactly the output sequences of an NFSR(f) of stage n < m. This paper studies affine cases, that is, finding an affine function f such that S(f) is a subset of S(g). If S(g) contains an affine sub-family S(f) whose order n is close to m, then a large number of sequences generated by the NFSR (g) have low linear complexities. First, we give two methods to bound the maximal order of affine sub-families included in S(g). Experimental data indicate that if S(g) contains an affine sub-family of order not smaller than m/2, then the upper bound given in the paper is tight. Second, we propose two algorithms to solve affine sub-families of a given order n included in S(g), both of which aim at affine sub-families with the maximal order. Algorithm 1 is applicable when n is close to m, while the feasibility of Algorithm 2 relies on the distribution of nonlinear terms of g. In particular, if Algorithm 2 works, then its computation complexity is less than that of Algorithm 1 and it is quite efficient for a number of cases.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.