Title :
Asymptotic behavior of normalized linear complexity of ultimately non-periodic binary sequences
Author :
Dai, Zongduo ; Jiang, Shaoquan ; Imamura, Kyoki ; Gong, Guang
Author_Institution :
Grad. Sch., Chinese Acad. of Sci., Beijing, China
fDate :
27 June-2 July 2004
Abstract :
This paper describes the asymptotic behavior of normalized linear complexity of ultimately nonperiodic binary sequence. The linear complexity of sn, Ls(n), is defined as the length of the shortest linear feedback shift register which generates sn. The research method and results studied in this paper seem to be very useful in characterizing the purely random sequence and distinguishing a key stream generator from a uniformly random sequence.
Keywords :
binary sequences; computational complexity; random sequences; asymptotic behavior; key stream generator; linear feedback shift register; normalized linear complexity; random sequence; ultimately nonperiodic binary sequence; Algorithm design and analysis; Binary sequences; Character generation; Content addressable storage; Cryptography; Galois fields; Information theory; Length measurement; Linear feedback shift registers; Random sequences;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365159