A Hybrid Method for Data Communication Using Encrypted Audio Steganography

Alsabhany, Ahmed A.; Ridzuan, Farida; Azni, A. H.

doi:10.1166/asl.2017.8946

Cited by 4 publications

(2 citation statements)

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“…As a result of such a modification, the message size must be known at the receiver to retrieve the message. Therefore, the message size must be shared beforehand or can be shared in the stego signal by allocating a segment of the stego signal for message size sharing as in [38].…”

Section: ) Segsnr Spikementioning

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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Section: ) Segsnr Spikementioning

confidence: 99%

The Adaptive Multi-Level Phase Coding Method in Audio Steganography

2019

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“…In steganography , the message is being hidden in another median so that nobody will be aware of the existence of such information and the end result of this technique is called stego-media, while in the cryptography, anyone is aware that there is a hidden encrypted information but incomprehensible and the end result of this technique is called ciphertext. Therefore, the most appropriate way to build a strong protection system is to rely on two technologies to make the process of penetrating the system more complicated [1,20]. In this paper, We used both steganography and cryptography methods to take advantage of both methods for encrypting a voice message in an insecure channel through implemented Advanced Encryption Standard (AES) and the Least Signification Bit (LSB) algorithms.…”

Section: Introductionmentioning

confidence: 99%

Hiding Voice Message using Both Cryptography and Steganography

Najeeb

2020

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The goal of encryption voice is to ensure the preservation of the conversation details and not to allow anyone to tamper with or see it. This conversation is either secret or very private; no one can understand the substance of that information or messages only authorized persons who have own secret key. The best method to protect the voice message from unauthorized persons is to use both cryptography and steganography. This paper reviews the Advanced Encryption Standard (AES) algorithm used for encrypting voice message and the Least Signification Bit steganography (LSB) used for embedding encrypted voice message with related key in color image without impacting the content and quality of it. After hiding a secret voice in an image, Stego image is created then is sent to the recipient. The mean square error (MSE) and the signal-to-noise ratio (PSNR) is calculated to measure the quality of the sent image. The findings of the research are that the stego image cannot be distinguished by the naked eye from the original cover image when the bit value is 1 or 2 and thus we reach the goal to cover the presence of a hidden sound inside.

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