Developing audio data hiding scheme using random sample bits with logical operators

Al-Hooti, Mohammed Hatem Ali; Ahmad, Tohari; Djanali, Supeno

doi:10.11591/ijeecs.v13.i1.pp147-154

Cited by 5 publications

(2 citation statements)

References 19 publications

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“… The quality: it is measured using Signal-to-noise ratio (SNR), NC, and BER [11]. SNR [18] as provided in Eq. (10) always measures the correspondence between the cover and the stego audio files.…”

Section: The Experimental Resultsmentioning

confidence: 99%

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: The Experimental Resultsmentioning

confidence: 99%

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

Al-Hooti¹,

Ahmad²

2019

IJIES

Self Cite

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“…We create an LSB-based audio data hiding technique under this scenario, taking into account the payload, quality, secrecy, and computational complexity factors.. In the worst-case scenario, We utilize 10 audio *.wav files for the audio cover, each with its own duration and size, all sampled in 16 bit depth this strategy takes about 30.20 seconds to complete, whereas cryptographic schemes can waste a lot of computing complexity and storage [29] [30].…”

Section: Computational Complexitymentioning

confidence: 99%

A survey on Rijndael based LSB Audio Steganography techniques

G.mohammed

2023

wjps

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The need to protect multimedia data security—including audio, video, and text—and the data it contains has persisted, whether in physical or digital form. This is due to the fact that the fabrication and fake of Multimedia data is widespread throughout the world, causing serious costs to people, societies, and the industrial sectors in addition to compromising national security. People are therefore concerned about safeguarding their employment and avoiding these illegal behaviors. To safeguard sensitive data, a variety of strategies including steganography, cryptography, and coding have been used. Steganography is a suitable technique that allows the user to hide a message inside of another message (cover media). The majority of steganography research makes use of cover material, like videos, images, and sounds. Notably, because to the challenges involved in locating embedded bits in an audio recording, audio steganography is typically not prioritized. By altering the least significant bits (LSBs) of audio samples, a technique known as audio steganography (LSB) can be used to conceal information in an audio stream. The least significant bits (LSBs) in a number's binary representation are the least weighted bits and are typically undetectable to the human ear. The audio signal can have a hidden message inserted in it without significantly affecting its perceptual quality by changing or manipulating the LSBs of the audio samples. To incorporate information into an audio, However, because to the slight audio difference, an assailant or other outsider might be able to hear this. To solve this problem, it is important to alter the audio in a way that it cannot be heard by the human ear but may still be understood by other means. This document is a summary of the available research in the field. We start by outlining the fundamentals of audio steganography and how it works. Then, three categories of audio steganography—statistical and random generation; and linguistics—are described. Each class's tactics are examined, with a focus on how a special method is offered for concealing sensitive information. In addition, we survey the existing works in the advancement of strategies and algorithms relevant to audio steganography; our survey, which covers work published from 2016 to 2023, is not exhaustive. This study gathers the present approaches, difficulties, and future directions in this topic with the goal of assisting other researchers .In addition, we survey the existing works in the advancement of strategies and algorithms relevant to audio steganography.

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Hybrid scheme for safe speech transmission based on multiple chaotic maps, watermarking and Arnold scrambling algorithm

Ouguissi

Saadi

Merrad

et al. 2022

Multimed Tools Appl

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Developing audio data hiding scheme using random sample bits with logical operators

Cited by 5 publications

References 19 publications

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

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

A survey on Rijndael based LSB Audio Steganography techniques

Hybrid scheme for safe speech transmission based on multiple chaotic maps, watermarking and Arnold scrambling algorithm

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