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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 6  |  Page No.: 1233 - 1238

Steganalysis Based on Least Square Method for Multiple Least Significant Bits Steganography

Jiaohua Qin, Xiaoyu Guo, XuyuXiang, Lingyun Xiang and LiliPan    

Abstract: This study was proposed by a steganalysis algorithm against Multiple Least Significant Bits (MLSB) steganography to estimate the secret message length in images. Firstly, a local masked estimation function by using weighted average of the masked pixels was used to estimate an approximately original image. Then, the weighted stego image was constructed by extending the definition of LSB steganalysis to MLSB one. Finally, the secret message length estimator was constructed through a least square equation. The detailed theoretical proofs of the detection and estimation methods were presented in this study. Experimental results revealed that this method can estimate the length of secret message with high accuracy and low time complexity.

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