为了保障网络信息安全,提出一种针对MIDI格式的专用音频隐写分析算法具有重要的意义。分析了MIDI音频LSB替换机制,提取特征量力度值进行统计分析,采用信息量估计法针对MIDI音频进行LSB隐写检测分析。实验表明,信息量估计法在嵌入率较大时,漏检率和虚警率都较低,可以作为MIDI音频的专用隐写分析方法。
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 .