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Title: | The characterization of 2n-periodic binary sequences with fixed 1-error linear complexity | Authors: | Fu, F.-W. Niederreiter, H. Su, M. |
Keywords: | Counting function Fast algorithms k-Error linear complexity Linear complexity Periodic sequences Stream cipher systems |
Issue Date: | 2006 | Citation: | Fu, F.-W.,Niederreiter, H.,Su, M. (2006). The characterization of 2n-periodic binary sequences with fixed 1-error linear complexity. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4086 LNCS : 88-103. ScholarBank@NUS Repository. | Abstract: | The linear complexity of sequences is one of the important security measures for stream cipher systems. Recently, using fast algorithms for computing the linear complexity and the k-error linear complexity of 2 n-periodic binary sequences, Meidl determined the counting function and expected value for the 1-error linear complexity of 2n-periodic binary sequences. In this paper, we study the linear complexity and the 1-error linear complexity of 2n-periodic binary sequences. Some interesting properties of the linear complexity and the 1-error linear complexity of 2 n-periodic binary sequences are obtained. Using these properties, we characterize the 2n-periodic binary sequences with fixed 1-error linear complexity. Along the way, we obtain a new approach to derive the counting function for the 1-error linear complexity of 2n-periodic binary sequences. Finally, we give new fast algorithms for computing the 1-error linear complexity and locating the error positions for 2n-periodic binary sequences. © Springer-Verlag Berlin Heidelberg 2006. | Source Title: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | URI: | http://scholarbank.nus.edu.sg/handle/10635/111649 | ISBN: | 3540445234 | ISSN: | 03029743 |
Appears in Collections: | Staff Publications |
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