Title :
On quadratic m-sequences
Author :
Chan, Agnes H. ; Games, Richard A. ; Rushanan, J.J.
Author_Institution :
Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
Maximal sequences generated by linear feedback shift registers (FSRs), known as m-sequences, have been well-studied in the literature. These sequences have long periods, good statistical properties and two-valued autocorrelation functions. However, m-sequences are extremely vulnerable to a known plaintext attack. In order to overcome these weaknesses, nonlinearities have been introduced. We study nonlinear feedback functions by investigating quadratic functions. The quadratic span of a periodic binary sequence is the length of the shortest quadratic FSR that generates the sequence. This paper considers the question as to whether the sequence obtained from a DeBruijn sequence by dropping the all-zero state can now have quadratic span n. Such sequences are the quadratic analog of the linear m-sequences and present an attractive extremal case to explore further the structure of nonlinear FSRs
Keywords :
binary sequences; correlation methods; feedback; DeBruijn sequence; autocorrelation functions; linear m-sequences; maximal sequences; nonlinear feedback functions; nonlinearities; periodic binary sequence; plaintext attack; quadratic functions; quadratic m-sequences; quadratic span; statistical properties; Autocorrelation; Binary sequences; Computer science; Educational institutions; Feedback; Linearity; National security;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394654