Detecting Steganography of Adaptive Multirate Speech with Unknown Embedding Rate

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/5418978/figures/5418978.fig.009a.svgz" name="5418978.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Embedding rate of 30%</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/5418978/figures/5418978.fig.009b.svgz" name="5418978.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Embedding rate of 60%</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/5418978/figures/5418978.fig.009c.svgz" name="5418978.fig.009c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Embedding rate of 100%</td></tr></table>

<div>The ROC curves for detecting Geiser’s method.</div>

Mobile Information Systems

fig9

Figure 9

Figure 9: Detecting Steganography of Adaptive Multirate Speech with Unknown Embedding Rate 