Audio Steganography Using Differential Phase Encoding

Parab, Nikhil; Nathan, Mark; Talele, Kiran

doi:10.1007/978-3-642-20209-4_20

Cited by 10 publications

(14 citation statements)

References 5 publications

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“…Parab et al [19] also proposed a phase coding method based on the difference between phases. The method sets the difference as even or odd to hide 1 message bit of 0 or 1.…”

Section: Related Workmentioning

confidence: 99%

The Adaptive Multi-Level Phase Coding Method in Audio Steganography

2019

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Audio steganography allows and inspires many researchers to design methods for secure communication. Based on the evaluation on the existing methods, it was found that most methods focused on one or two requirements while disregarding others, causing imbalanced performance. Moreover, most methods lack adaptivity and dynamic allocation. Therefore, in this research, a method called Adaptive Multi-level Phase Coding (AMPC) was proposed to optimize the above issues. The reverse logic of the main tradeoffs was used to empirically design several embedding levels that that simultaneously attained good performance for all aspects as much as possible. Then, an adaptive component was added by selecting the embedding level that provided the best performance for each embedding process. Moreover, the error spreading factor was introduced to achieve a fair payload distribution. The performance balance objective requires a new formulation that will enable the accurate selection of the degree of modification, multiple-bit embedding per modification, and reduced retrieval errors. As a result, the interval centering quantization (ICQ) was formulated and implemented in the proposed method. The experimental results show that AMPC successfully fulfilled the research objectives. Also, AMPC surpassed other phase coding methods in all aspects while time-domain methods achieved the highest transparency and capacity with the lowest robustness. Moreover, experiments show that the implementation of adaptive multi-level concept is able to improve the existing method's performance significantly. In summary, AMPC was able to achieve a stable embedding rate of 33 Kbps at 35 dB of SNR, which is higher than the recorded embedding rate of other phase coding methods.

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“…Parab et al [19] also proposed a phase coding method based on the difference between phases. The method sets the difference as even or odd to hide 1 message bit of 0 or 1.…”

Section: Related Workmentioning

confidence: 99%

The Adaptive Multi-Level Phase Coding Method in Audio Steganography

2019

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“…In phase coding using psycho acoustic model, a threshold is calculated which can be used as masking threshold [71]. In [72], authors have used difference between the phase values of the selected component frequencies and their adjacent frequencies of the cover signal as a medium to hide secret data bits. This method provides more robustness than the previous approaches.…”

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confidence: 99%

Identify Criminal Records in Social Media using Sentiment Analysis

Chakraborty¹

2019

IJRASET

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Today it is important to recognize important criminal data hide in social media data within some unimportant text. It is also possible to hide criminal records in twitter data. So first it is required to unhide data. Next the analysis of these data are required for crime investigation. This process requires the knowledge of different techniques of steganography but also to analyse data for finding sentiment analysis of the data for finding criminal information. This paper initially reviews various techniques of data hiding and retrieval of data and then analysing data for finding criminal words using sentiment analysis. It is assumed here that the analysis is required for finding any criminal records hidden within the data.

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“…Using psychoacoustic model, a threshold is calculated which can be used as masking threshold [6]. In [7], authors have used difference between the phase values of the selected component frequencies and their adjacent frequencies of the cover signal as a medium to hide secret data bits. This method provides more robustness than the previous approaches.…”

Section: Related Workmentioning

confidence: 99%

Blind Key Based Attack Resistant Audio Steganography Using Cocktail Party Effect

Banik

Bandyopadhyay

2018

Security and Communication Networks

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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.

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Audio Steganography Using Differential Phase Encoding

Cited by 10 publications

References 5 publications

The Adaptive Multi-Level Phase Coding Method in Audio Steganography

The Adaptive Multi-Level Phase Coding Method in Audio Steganography

Identify Criminal Records in Social Media using Sentiment Analysis

Blind Key Based Attack Resistant Audio Steganography Using Cocktail Party Effect

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