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dc.contributor.authorZhou, J.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorWang, X.
dc.date.accessioned2017-01-30T15:17:48Z
dc.date.available2017-01-30T15:17:48Z
dc.date.created2016-05-22T19:30:27Z
dc.date.issued2016
dc.identifier.citationZhou, J. and Liu, W. and Wang, X. 2016. Characterization of the third descent points for the k-error linear complexity of 2n-periodic binary sequences, in Proceedings of the International Conference on Information and Communications Security (ICICS), Dec 9-11 2015, pp. 169-183. Bejing, China: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45017
dc.identifier.doi10.1007/978-3-319-29814-6_14
dc.description.abstract

In this paper, a structural approach for determining CELCS (critical error linear complexity spectrum) for the k-error linear complexity distribution of 2n-periodic binary sequences is developed via the sieve method and Games-Chan algorithm. Accordingly, the third descent point (critical point) distribution of the k-error linear complexity for 2n- periodic binary sequences is characterized. As a consequence, we derive the complete counting functions on the 5-error linear complexity of 2n- periodic binary sequences when it is the third descent point. With the structural approach proposed here, one can further characterize other third and fourth descent points of the k-error linear complexity for 2n- periodic binary sequences.

dc.titleCharacterization of the third descent points for the k-error linear complexity of 2n-periodic binary sequences
dc.typeBook Chapter
dcterms.source.volume9543
dcterms.source.startPage169
dcterms.source.endPage183
dcterms.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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