YANG Wanxia, TANG Shanyu, LI Miaoqi, CHENG Yongfeng, ZHOU Zhili. Steganalysis of Low Embedding Rates LSB Speech Based on Histogram Moments in Frequency Domain[J]. Chinese Journal of Electronics, 2017, 26(6): 1254-1260. doi: 10.1049/cje.2017.09.026
Citation: YANG Wanxia, TANG Shanyu, LI Miaoqi, CHENG Yongfeng, ZHOU Zhili. Steganalysis of Low Embedding Rates LSB Speech Based on Histogram Moments in Frequency Domain[J]. Chinese Journal of Electronics, 2017, 26(6): 1254-1260. doi: 10.1049/cje.2017.09.026

Steganalysis of Low Embedding Rates LSB Speech Based on Histogram Moments in Frequency Domain

doi: 10.1049/cje.2017.09.026
Funds:  This work is supported by the National Natural Science Foundation of China (No.61402115, No.u1536115, No.u1536207).
  • Received Date: 2016-12-01
  • Rev Recd Date: 2017-02-09
  • Publish Date: 2017-11-10
  • As wavelet packet transform is able to focus on minute change of signals, this study proposes an analytic approach of low embedding steganograpy based on high order Histogram moments in frequency domain (HMFD), which provides a key solution to the feature selection and extraction of HMFD. The detection results are tested with the LSB matching steganograpy of different embedding rates in speech signals, respectively, it is proved that the detection performance with HMFD applied is greater than that of histogram statistical moments. HMFD by Wavelet packet decomposition (WPD) can effectively detect low embedding rates Least significant bit (LSB) speech steganography, its accuracy can be 60.8% while the embedding rate is only 3%.
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