Blind Key Based Attack Resistant Audio Steganography Using Cocktail Party Effect

Abstract

Steganography is a popular technique of digital data security. Among all digital steganography methods, audio steganography is very delicate as human auditory system is highly sensitive to noise; hence small modification in audio can make significant audible impact. In this paper, a key based blind audio steganography method has been proposed which is built on discrete wavelet transform (DWT) as well as discrete cosine transform (DCT) and adheres to Kerckhoff’s principle. Here image has been used as secret message which is preprocessed using Arnold’s Transform. To make the system more robust and undetectable, a well-known problem of audio analysis has been explored here, known as Cocktail Party Problem, for wrapping stego audio. The robustness of the proposed method has been tested against Steganalysis attacks like noise addition, random cropping, resampling, requantization, pitch shifting, and mp3 compression. The quality of resultant stego audio and retrieved secret image has been measured by various metrics, namely, “peak signal-to-noise ratio”; “correlation coefficient”; “perceptual evaluation of audio quality”; “bit error rate”; and “structural similarity index.” The embedding capacity has also been evaluated and, as seen from the comparison result, the proposed method has outperformed other existing DCT-DWT based technique.

Information Security for Audio Steganography Using a Phase Coding Method

“…Use the modified phase matrix φ′n(ωk)and the original magnitude matrix An(ωk) to reconstruct the sound signal by applying the inverse DFT ( Banik & Bandyopadhyay, 2018). Figure 6 illustrates the method used at the sender site.…”

“…There are two main techniques for data hiding in audio, the first one is spatial domain techniques which consist mainly from LSB coding techniques (Shanthakumari et al, 2021), parity coding technique (Banik & Bandyopadhyay, 2018), and echo hiding technique (Xie & Wu, 2010). The second one is transform domain techniques which includes spread spectrum technique as in (Al-Najjar, 2008), phase coding technique (Alsabhany et al, 2019), discrete wavelet transform technique (Chen et al, 2021), tone incertion technique (Yousif et al, 2017) and amplitude coding technique ( Bharti et al, 2019).…”

Electronic Circuit Simulation in Cap Shaped 4D Chaotic Model with DOCX Encryption, Stenography and Watermarking

“…Steganography is the technique of concealing digital data virtually so it cannot be detected [18]. The idea is to alter redundant data in protocols such that the carrier's usage properties are remain unaltered during transmission, hence concealing hidden information [19,20]. It is currently widely applied in text, voice, picture, and video transmission mediums.…”

Steganography and Steganalysis in Voice over IP: A Review

“…The principle is to hide secret information without being noticed by a third party by modifying redundant data in digital media or protocols, such that the carrier's use attributes are not changed during transmission. By this means, a secret message can be embedded into cover objects and transmitted through public channels [2,3]. At present, it is widely used in transmission media such as voice, image, video, and text.…”

“…sc: secret communication,2 cac: confidentiality and certification,3 std: spatial and transform domain, 4 m-b: modle-based,5 avi: audio, video and image, 6 dp: data protection, 7 dian: data integrity, authentication and non-repudiation, 8 trscbc: transposition, replacement, stream cipher, block cipher.…”