Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 1012-2354 Erciyes Üniversitesi An Evaluation of the Robustness Chi-Square Steganalysis Method on Wav Audio Files with Various Content Farklı İçeriklere Sahip Wav Ses Dosyalarında Ki-kare Steganaliz Atağına Karşı Sağlamlık Değerlendirmesi https://orcid.org/0000-0002-5347-4491 Durdu Ali Ankara Sosyal Bilimler Üniversitesi Hukuk Fakültesi 08 17 2020 36 2 178 192 08 01 2018 08 06 2020 Copyright © 1985, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 1985 Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi

Abstract: 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.

Özet: Bu çalışmada, farklı içerikli wav ses dosyalarına LSB(Least Significant Bit) yöntemi ile gizlenen veriler ki-kare yöntemiyle steganaliz edilmiştir. Çalışmada müzik, insan ve hayvan seslerinden 3 kategoride 4500 farklı wav ses dosyasına farklı oranlarda veriler gizlenmiştir. Bu çalışmada ki-kare steganaliz yöntemi diğer çalışmalardan farklı olarak imgeler yerine wav ses dosyalarına uyarlanmıştır. Deney sonuçlarına göre benzersiz ses örnekleri (insan veya müzik ses örnekleri) içeren wav ses dosyalarına gizlenen verilerin ki-kare steganaliz yöntemi tarafından tespit edilemediği gözlenmiştir. Benzer ses örnekleri (hayvan ses örnekleri) içeren dosyalarda ise gizlenen veriler ki-kare steganaliz yöntemi tarafından tespit edilmiştir.

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