Recent Audio Steganography Trails and its Quality Measures

Sadkhan, Sattar B.; Mahdi, Abbas Ali; Mohammed, Rana Saad

doi:10.1109/cas47993.2019.9075778

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…In 2019, Sadkhan, Mahdi, and Mohammed [17] conducted a review of previous methods utilizing audio steganography.…”

Section: Previous Review Work On Secure Voice Communicationmentioning

confidence: 99%

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Pekerti,

Sasongko,

Indrayanto

2024

IEEE Access

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Secure end-to-end voice communication is crucial, but it has several issues. Researchers in this field can benefit from a review paper with broader evaluation parameters than existing literature and from a coverage of security algorithms for voice communication. This paper provides a comprehensive overview of end-to-end secure voice communication and evaluation of various methods for securing voice transmissions over communication networks. The evaluation parameters include System Throughput Capacity, Transmission Error Rate, Recovered Speech Quality, and Security of the System. The analysis results show that Steganography category is the most popular technique in recent years and the most promising category to implement high system throughput capacity. Modem-based Cryptography category is the most promising category to implement standard security algorithms with low system throughput capacity. Meanwhile, chaotic Cryptography provide suitable cryptography for voice security. Furthermore, the results reveal gaps in proposed solutions, including the evaluation and improvement of speech quality, the need for further development of compatible method to implement standard security algorithms, and the extensive development space for Artificial Intelligent based method.

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“…In 2019, Sadkhan, Mahdi, and Mohammed [17] conducted a review of previous methods utilizing audio steganography.…”

Section: Previous Review Work On Secure Voice Communicationmentioning

confidence: 99%

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Pekerti,

Sasongko,

Indrayanto

2024

IEEE Access

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show abstract

“…This approach uses a maximum data transfer rate of 1 kbps per 1 kHz, which means that one LSB covers one bit of hidden data. Over a few executions of the LSB code, the two LSBs are substituted with two data bits to increase the amount of information concealed in the stego-audio file [9]. This scheme is an effective method of increasing data coverage, and is relatively simple to implement, but is vulnerable to attacks [20].…”

Section: Least Significant Bitmentioning

confidence: 99%

Hiding scrambled text messages in speech signals using a lightweight hyperchaotic map and conditional LSB mechanism

Al Sibahee,

Abduljabbar,

Luo

et al. 2024

PLoS ONE

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This study presents a lightweight, secure audio steganography system for hiding text messages for transmission over the Internet, with the aim of addressing the current problems of high computational cost and insufficient security identified in earlier studies. We propose a two-phase functioning mechanism. Text characters are first transformed into ASCII code and stored in a vector, which is then divided into three sub-vectors. These sub-vectors are scrambled using two low-complexity operations, namely a forward-backward reading technique and an odd-even index. Two scrambling loops are performed, the first on the small sub-vectors the second on the vector as a whole. In the hiding phase, the speech signal samples are divided into 256 blocks using only 200 values per block, and low-complexity quadratic and the Hénon maps are used to hide the speech signal in a random manner. The conditional LSB is applied as a low-complexity algorithm to identify hidden bits, and a special hyperchaotic map algorithm is developed to randomly choose locations. The proposed approach provides good security for a scrambled text message, with high SNR and PSNR, small MSE and PESQ, a SSIM value of close to one (As indicated in Tables 1, 2, 3, and 4), a BER value of close to zero (as shown in table 8), NCC value near +1 (as shown in table 8), and an MOS value of near five (as described in table 6), as well as a low computational hiding cost.

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“…The correlation function, it is possible to determine the correlation between two audio streams both before and after enhancement. Here's the equation (10) for calculating the cross-correlation function between two enhanced audio signals and with a lag of l:…”

Section: Correlationmentioning

confidence: 99%

“…The findings demonstrate that the proposed strategy assures patient information confidentiality and secrecy while retaining imperceptibility. Sadkhan et al, [10] have proposed sound steganography is a variety of techniques used to conceal a hidden message (sound or anything else) in an audio cover file. These techniques used digital audio formats, including WAV, MP3, and AU.…”

mentioning

confidence: 99%

Empirical Analysis of Text Embedding Algorithms in Audio Files: A Proposed Strategy

Radhi,

Maarouf

2023

AJEST

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Security has become one of the main tasks to maintain the safety of transmitted or stored information. Text encryption is one of the essential tools for text hiding. On the other hand, steganography coding is an effective tool to increase the security. This paper present's a proposed security which combine with a hiding technique for an important text with a selected audio. The encryption file hiding by phase coding in compressed audio. Such procedure aims to increase security and reduce overall transmitted data. As a result, the hiding and showing processing may affect the selected audio and lose some spectral data. To address this problem, an enhancement based on the Wiener filter is deployed to re-extract the original audio after decompression in the received file. The results, show that high security with achieved by obtaining the hided text and complete audio spectral data of used audio and proposed system achieved an improvement in encryption, compression, and masking at the same time.

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Recent Audio Steganography Trails and its Quality Measures

Cited by 8 publications

References 15 publications

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Hiding scrambled text messages in speech signals using a lightweight hyperchaotic map and conditional LSB mechanism

Empirical Analysis of Text Embedding Algorithms in Audio Files: A Proposed Strategy

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