Speech steganalysis based on the delay vector variance method

Authors : Osman Hilmi KOÇAL, Emrah YÜRÜKLÜ, Erdoğan DİLAVEROĞLU

Pages : 4129-4141

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This study investigates the use of delay vector variance-based features for steganalysis of recorded speech. Because data hidden within a speech signal distort the properties of the original speech signal, we designed a new audio steganalyzer that utilizes delay vector variance insert ignore into journalissuearticles values(DVV); features based on surrogate data in order to detect the existence of hidden data. The proposed DVV features are evaluated individually and together with other chaotic-type features. The performance of the proposed steganalyzer method is also discussed with a focus on the effect of different hiding capacities. The results of the study show that using the proposed DVV features alone or in cooperation with other features helps in designing a distinctive audio steganalyzer, as cooperation with other chaotic-type features provides higher performances for stego and cover objects.
Keywords : Steganography, steganalysis, speech, chaos, false neighbors, Lyapunov exponent, surrogate data, delay vector variance