Research Article
Extracting Spread-Spectrum Hidden Data Based on Better Lattice Decoding
@INPROCEEDINGS{10.1007/978-3-031-36574-4_10, author={Fan Yang and Hao Cheng and Shanxiang Lyu}, title={Extracting Spread-Spectrum Hidden Data Based on Better Lattice Decoding}, proceedings={Digital Forensics and Cyber Crime. 13th EAI International Conference, ICDF2C 2022, Boston, MA, November 16-18, 2022, Proceedings}, proceedings_a={ICDF2C}, year={2023}, month={7}, keywords={blind extraction spread spectrum lattices successive interference cancellation}, doi={10.1007/978-3-031-36574-4_10} }- Fan Yang
Hao Cheng
Shanxiang Lyu
Year: 2023
Extracting Spread-Spectrum Hidden Data Based on Better Lattice Decoding
ICDF2C
Springer
DOI: 10.1007/978-3-031-36574-4_10
Abstract
This paper considers the blind extraction of hidden data embedded by the multi-carrier spread-spectrum scheme. Since the conventional multi-carrier iterative generalize least-squares (M-IGLS) scheme suffers from performance degradation when the carriers lack sufficient orthogonality, we develop a novel blind extraction scheme called multi-carrier iterative successive interference cancellation (M-ISIC). M-ISIC is formulated from the perspective of lattices, and it employs a successive interference cancellation subroutine to solve the lattice decoding problem. We show that M-ISIC outperforms M-IGLS by both theoretical justification and numerical simulations.
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