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- W2100032614 abstract "How to design more secure steganographical algorithms all along is the hot topic. In this paper, a modified LSB-matching method is proposed to hold second-order statistics described by Markov Chain distance. To achieve it, the genetic algorithm is used to find the optimum tuning vector to match LSBs of image pixels and message bits. Experiments show the proposed algorithm has better security in K-L and M-C distance meanings, and the blind steanalysis tests also show that our new algorithm is more secure than LSB and LSB-matching methods." @default.
- W2100032614 created "2016-06-24" @default.
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- W2100032614 date "2009-01-01" @default.
- W2100032614 modified "2023-09-23" @default.
- W2100032614 title "GA-Based LSB-Matching Steganography to Hold Second-Order Statistics" @default.
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- W2100032614 doi "https://doi.org/10.1109/mines.2009.281" @default.
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