Information Hiding Based on Audio Steganography using Least Significant Bit

Mohamad, Fatma Susilawati; Yasin, Nurul Sahira Mohd

doi:10.14419/ijet.v7i4.15.28363

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…the recent definition of steganography refers to information or a document that has been hidden within a digital image, video, or audio file as well as network Steganography [2]. Steganography exploit of human perception; our senses aren't made to hunt for files with information concealed inside of them [1].a superb image steganography technique includes three main parts, the first is capacity or the greatest quantity of data that must be held within the cover image, the second factor is imperceptibility which refers to the quality of the stego-picture built after data has been hidden, and the third factor is robustness which measures the ability of secret information to resist against threats [3].The most popular stenographic approach is Least Significant Bit (LSB) substitution. The core notion of LSB substitution entails embedding secret data in bits with the smallest weighting so that the value of the original pixel is unaffected [4].…”

Section: Introductionmentioning

confidence: 99%

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Hiding Information in Digital Images Using LSB Steganography Technique

Jebur

Nawar

Kadhim

et al. 2023

Int. J. Interact. Mob. Technol.

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The highest way to protect data from intruder and unauthorized persons has become a major issue. This matter led to the development of many techniques for data security, such as Steganography, Cryptography, and Watermarking to disguise data. This paper proposes an image steganography method using the Least Significant Bits (LSB) technique and XOR operator and a secret key, through which the secret key is transformed into a one-dimensional bit stream array, then these bits are XORed with the bits of the secret image. Multiple experiments have been performed to embed color and grayscale images inside cover media. In this work, the LSB technique is ideal in two ways: firstly, only the least significant one-bit (1bit) of each byte will store the embedded data, this method is named (1-LSB). Secondly, the four least significant bits of the right half-byte (4 bits) of each byte will store the embedded data, this method is named (4-LSB). Subjective and objective analyzes were performed for each LSB process. The subjective analysis is responsible for both HVS and histogram, whereas the objective analysis involved both PSNR and MSE metrics.

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Section: Introductionmentioning

confidence: 99%

“…The core notion of LSB substitution entails embedding secret data in bits with the smallest weighting so that the value of the original pixel is unaffected [4]. Steganography methods can be classified into text, image, audio, and video steganography according on the cover media used to embed secret data [3]:…”

Section: Introductionmentioning

confidence: 99%

Hiding Information in Digital Images Using LSB Steganography Technique

Jebur

Nawar

Kadhim

et al. 2023

Int. J. Interact. Mob. Technol.

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A Novel Steganography Approach for Audio Files

2020

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We present a novel robust and secure steganography technique to hide images into audio files aiming at increasing the carrier medium capacity. The audio files are in the standard WAV format, which is based on the LSB algorithm, while images are compressed by the GMPR technique which is based on the Discrete Cosine Transform and high-frequency minimization encoding algorithm. The method involves compression-encryption of an image file by the GMPR technique followed by hiding it into audio data by appropriate bit substitution. The maximum number of bits without significant effect on audio signal for LSB audio steganography is 6 LSBs. The encrypted image bits are hidden into variable and multiple LSB layers in the proposed method. Experimental results from observed listening tests show that there is no significant difference between the stego-audio reconstructed from the novel technique and the original signal. A performance evaluation has been carried out according to quality measurement criteria of signal-to-noise ratio and peak signal-to-noise ratio.

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Information Security for Audio Steganography Using a Phase Coding Method

Sayed,

Wahbi

2024

ejtas

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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)

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Information Hiding Based on Audio Steganography using Least Significant Bit

Cited by 3 publications

References 3 publications

Hiding Information in Digital Images Using LSB Steganography Technique

Hiding Information in Digital Images Using LSB Steganography Technique

A Novel Steganography Approach for Audio Files

Information Security for Audio Steganography Using a Phase Coding Method

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