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Shift register sequences – a retrospective account. (English) Zbl 1152.94383
Gong, Guang (ed.) et al., Sequences and their applications – SETA 2006. 4th international conference, Beijing, China, September 24–28, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-44523-4/pbk). Lecture Notes in Computer Science 4086, 1-4 (2006).
Summary: Binary feedback shift registers, with applications to reliable communications, stream cipher cryptography, radar signal design, pseudorandom number generation, digital wireless telephony, and many other areas, have been studied for more than half a century. The maximum-length binary linear feedback shift registers, called \(m\)-sequences or PN sequences, are the best-known and most thoroughly understood special case.
The \(m\)-sequences have several important randomness properties, and are known as pseudo-random sequences. They are characterized by the cycle-and-add property, whereby the term-by-term sum of two cyclic shifts is a third cyclic shift. Along with other families of binary sequences that correspond to cyclic Hadamard difference sets, they have the two-level autocorrelation property. The \(m\)-sequences share the span-\(n\) property (all subsequences of length \(n\), except \(n\) zeroes, occur in each period of length \(2^{n} -1)\) with a far larger class of nonlinear shift register sequences. No counterexample has been found to the conjecture that only the \(m\)-sequences have both the two-level autocorrelation and the span-\(n\) properties.
The class of \(m\)-sequences is too small, and has too many regularities, to provide useful cryptographic security as key sequences for stream ciphers. For this purpose, nonlinear shift register sequences which have large linear span and a sufficiently high degree of correlation immunity may be employed.
For the entire collection see [Zbl 1147.94003].

94A55 Shift register sequences and sequences over finite alphabets in information and communication theory
94-02 Research exposition (monographs, survey articles) pertaining to information and communication theory
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