Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/93746
Title: Reconstructing a linear scrambler with improved detection capability and in the presence of noise
Authors: Liu, Xiao-Bei
Koh, Soo Ngee
Wu, Xin-Wen
Chui, Chee-Cheon
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Source: Liu, X. B., Koh, S. N., Wu, X. W., & Chui, C. C. (2012). Reconstructing a Linear Scrambler with Improved Detection Capability and in the Presence of Noise. IEEE Transactions on Information Forensics and Security, 7(1), 208-218.
Series/Report no.: IEEE transactions on information forensics and security
Abstract: In this paper, the problem of reconstruction of the feedback polynomial in a linear scrambler is studied. Our work contains two parts. In the first part, schemes to improve the performance of an existing reconstruction algorithm are proposed. Simulation results show that both the detection capability and speed of the existing algorithm are significantly improved by using our proposed schemes. In the second part, the reconstruction of linear scramblers in the presence of channel noise is investigated. We consider flipped bits due to noise as well as insertion of bits in the scrambled bit sequence. For both cases, factors which affect the performance of the reconstruction algorithm are discussed.
URI: https://hdl.handle.net/10356/93746
http://hdl.handle.net/10220/7530
DOI: 10.1109/TIFS.2011.2169790
Rights: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/TIFS.2011.2169790].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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