Blind Key Based Attack Resistant Audio Steganography Using Cocktail Party Effect

Banik, Barnali Gupta; Bandyopadhyay, Samir Kumar

doi:10.1155/2018/1781384

Cited by 11 publications

(7 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.…”

Section: ∆φN+1(ω) = φN+1(ωk) -φN(ωk) (Iv)mentioning

confidence: 99%

“…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).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Information Security for Audio Steganography Using a Phase Coding Method

Sayed,

Wahbi

2024

ejtas

View full text Add to dashboard Cite

The art and science of steganography are dedicated to concealing the presence of a secret message from a third party, such that only the sender and recipient are aware of its content. Various types of media can be used to conceal these communications. When information is hidden in an audio signal, this is referred to as audio steganography. In this paper, two distinct steganography techniques are combined with a multi-level steganography approach: the initial message is embedded in an audio cover at the initial stage, employing, a modified LSB technique, additionally, the second message is embedded in the output from the first level, using a phase coding approach at the second level. A stego audio file is the second level's output containing two audio covers with secret messages. The message is split in multiple ways, with varying proportions between the two levels, in order to investigate how the message's size affects the two procedures used here as well as the levels. The PSNR, MSE, and histogram metrics are used to compare the original and stego audio, in order to assess the effectiveness of the suggested approach. The optimum outcome is achieved when the message is divided in the ratio (1:1). The worst outcome is achieved when the message is divided in the ratio (3:1)

show abstract

Section: ∆φN+1(ω) = φN+1(ωk) -φN(ωk) (Iv)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Information Security for Audio Steganography Using a Phase Coding Method

Sayed,

Wahbi

2024

ejtas

View full text Add to dashboard Cite

show abstract

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Qureshi,

Khan,

Raza

2024

Preprint

View full text Add to dashboard Cite

This research investigates the effects of model parameters and fractional order on a novel mathematical model with tangent hyperbolic memristors. An analysis of bifurcations and Lyapunov exponents was conducted in this study. A chaotic behavior with coexisting attractors is observed when fractional operators are applied to this new model. Utilization of Lyapunov exponent theory to understand and characterize these chaotic behaviors under various fractional orders. To explore the dynamics of a chaotic system governed by Caputo fractional-order equations, exploration of Lyapunov exponent spectra, bifurcation diagrams, and phase diagrams are reported along with geometrical control via the variation in a parameter is illustrated. According to the investigation, this novel 4D system exhibits a wide range of complex behaviors that depend on both the system parameters and the fractional derivative order. The novel system circuit realization is presented with the electronic active and passive components fused with nonlinearity of tangent hyperbolic memristor. Finally, the generated random numbers are utilized to secure the DOCX text, novel Steganography algorithm to secure the text in an image and novel visible encrypted Watermarking.

show abstract

“…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.…”

Section: Introductionmentioning

confidence: 99%

“…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.…”

mentioning

confidence: 99%

Steganography and Steganalysis in Voice over IP: A Review

Guo

Zhang

et al. 2021

Sensors

View full text Add to dashboard Cite

The rapid advance and popularization of VoIP (Voice over IP) has also brought security issues. VoIP-based secure voice communication has two sides: first, for legitimate users, the secret voice can be embedded in the carrier and transmitted safely in the channel to prevent privacy leakage and ensure data security; second, for illegal users, the use of VoIP Voice communication hides and transmits illegal information, leading to security incidents. Therefore, in recent years, steganography and steganography analysis based on VoIP have gradually become research hotspots in the field of information security. Steganography and steganalysis based on VoIP can be divided into two categories, depending on where the secret information is embedded: steganography and steganalysis based on voice payload or protocol. The former mainly regards voice payload as the carrier, and steganography or steganalysis is performed with respect to the payload. It can be subdivided into steganography and steganalysis based on FBC (fixed codebook), LPC (linear prediction coefficient), and ACB (adaptive codebook). The latter uses various protocols as the carrier and performs steganography or steganalysis with respect to some fields of the protocol header and the timing of the voice packet. It can be divided into steganography and steganalysis based on the network layer, the transport layer, and the application layer. Recent research results of steganography and steganalysis based on protocol and voice payload are classified in this paper, and the paper also summarizes their characteristics, advantages, and disadvantages. The development direction of future research is analyzed. Therefore, this research can provide good help and guidance for researchers in related fields.

show abstract

Blind Key Based Attack Resistant Audio Steganography Using Cocktail Party Effect

Cited by 11 publications

References 43 publications

Information Security for Audio Steganography Using a Phase Coding Method

Information Security for Audio Steganography Using a Phase Coding Method

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

Steganography and Steganalysis in Voice over IP: A Review

Contact Info

Product

Resources

About