Abstract
In order to protect the security of information networks, a dedicated MIDI audio steganalysis algorithm is proposed. The least significant bit embedding scheme in MIDI audio is discussed, and the parameter of music velocity is picked up, and the steganalysis in MIDI audio based on entropy estimation is analyzed. Experiments show that when embedded rate is high, FPR and FPR are all slow, and the entropy estimation could be taken as a dedicated MIDI audio steganalysis algorithm.
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