A security enhanced robust audio steganography algorithm for image hiding using sample comparison in discrete wavelet transform domain and RSA encryption

El‐Khamy, Said E.; Korany, Noha O.; El-Sherif, Marwa H.

doi:10.1007/s11042-016-4113-8

Cited by 34 publications

(27 citation statements)

References 11 publications

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“…The work in [5] transforms the audio file into the frequency domain using DWT. It compares the samples that compose the file into several sub-bands, and it changes the coefficients details by a threshold whose value depends on the expected the embedding secret bit.…”

Section: Audio Steganography Based On Frequency Domainmentioning

confidence: 99%

“…Based on the methods in [5,6,8,11], this paper proposes a new algorithm by exploring DCT technique and location map. This work mainly focuses on the recovery of both the secret message and the cover file while maintaining the capacity and quality.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“… Extract the secret message bit using Eqs. (5) and (6). This process is done by obtaining the difference between the transformed sample in the stego file and the frequency value that is saved in the location map.…”

Section: The Extraction Operationmentioning

confidence: 99%

“…It is supportive for many fields where almost all transmitted information is highly required to be secured, for example, banking and medical reporting. So, transferring medical reports including patients' information are commonly hidden within an audio file [5]. Banking data require audio data hiding because the secrecy of financial data needs to be highly maintained.…”

Section: Introductionmentioning

confidence: 99%

“… It is difficult to compromise the secret message since the extraction process is not possible to perform without using the location map file.  This work is able to maintain the quality and invisibility compared to the work in [5]. This is done by modifying the frequency sample values based on the intended bit to be embedded.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Reversible Data Hiding in Audio Based on Discrete Cosine Transform and Location Maps

Al-Hooti¹,

Ahmad²

2019

IJIES

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Transmitting information via public networks is prone to illegal attacks. Thus, data hiding is a suitable aspect that is useful to assure information security. Nowadays, multimedia tempering becomes the most variety problem that occurs on public networks. Audio steganography methods aim to hide secret data in an audio file called cover. Many methods in the time domain can hide large data (payload) with relatively low robustness. On the other hand, transformed based frequency algorithms can be more robust but the recovery of the cover audio is not guaranteed. In this paper, we investigate the time and frequency domains and tend to bridge gaps in the area of data hiding with the frequency transformation methods. In addition, we propose a new reversible audio data hiding based on Discrete Cosine Transform (DCT) and location maps. This kind of map helps to fully recover both the secret message and the cover file from the stego where the frequency sample values are increased or decreased by 10 in correspondence with the intended bit to be embedded. The experimental results prove that this method is able to hide high payload, and it is also robust since it guarantees 100% the reversibility of both the secret message and the cover audio file. The quality measured by Signal-to-noise ratio (SNR) is approximately 75 dB, Normalized Correlation (NC) value is 1.000, and Bit Error Rate (BER) is around 0.006. Additionally, this method is able to maintain the quality and invisibility, which may not be achieved by some previous research.

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Section: Audio Steganography Based On Frequency Domainmentioning

confidence: 99%