Farklı İçeriklere Sahip Wav Ses Dosyalarında Ki-kare Steganaliz Atağına Karşı Sağlamlık Değerlendirmesi
Ali̇ Durdu · DergiPark (Istanbul University) · 2018
This paper presents the performance of the chi-square method for steganalysis purposes on audio files through various content. Predetermined rates of stego data have been embedded into 4500 distinct cover wav files via LSB (Least Significant Bit) method using three types of audio input files: music, human voice, animal sounds. Results of the experiment have revealed that hidden data in wav files containing dissimilar audio samples cannot be easily detected by chi-square steganalysis method. However, wav files containing similar audio samples demonstrate better performance compared to dissimilar samples.