A variable higher bit approach to audio steganography

Banerjee, Soumya; Roy, Saikat; Chakraborty, Madhu Sudan; Das, Simpita

doi:10.1109/icrtit.2013.6844178

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Several steganography techniques have been developed recently. Some of them adopt data hiding in the time domain [27,28], frequency domain (e.g., Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT)) [6,29], or encoded domain (e.g., AMR, G.723.1, G729) [30,31]. Most of these techniques are based on least significant bit encoding (LSB).…”

Section: Related Workmentioning

confidence: 99%

Securing IoT Data Using Steganography: A Practical Implementation Approach

Djebbar

2021

Electronics

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Adding network connectivity to any “thing” can certainly provide great value, but it also brings along potential cybersecurity risks. To fully benefit from the Internet of Things “IoT” system’s capabilities, the validity and accuracy of transmitted data should be ensured. Due to the constrained environment of IoT devices, practical security implementation presents a great challenge. In this paper, we present a noise-resilient, low-overhead, lightweight steganography solution adequate for use in the IoT environment. The accuracy of hidden data is tested against corruption using multiple modulations and coding schemes (MCSs). Additive white Gaussian noise (AWGN) is added to the modulated data to simulate the noisy channel as well as several wireless technologies such as cellular, WiFi, and vehicular communications that are used between communicating IoT devices. The presented scheme is capable of hiding a high payload in audio signals (e.g., speech and music) with a low bit error rate (BER), high undetectability, low complexity, and low perceptibility. The proposed algorithm is evaluated using well-established performance evaluation techniques and has been demonstrated to be a practical candidate for the mass deployment of IoT devices.

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Section: Related Workmentioning

confidence: 99%

Securing IoT Data Using Steganography: A Practical Implementation Approach

Djebbar

2021

Electronics

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“…Most commonly used technique for audio steganography involves bitwise manipulation of the cover object to embed the secret information bits. A very good approach for bitwise steganography is the Least Significant Bit (LSB) Steganography, where the secret information bit to be hidden into the LSBs of the cover object [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Embedding Text in Audio using Randomized LSB Method for Secured Audio Steganography

Ullas¹,

Chandrashekar²

2015

IJERT

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Steganography is a technique used for secure transmission of data. Secure data communication has a greater importance in the communication world. Audio Steganography is a technique of hiding an existence of secret information in an audio file. The conventional LSB modification technique is very simple and effective but vulnerable to steganalysis. This paper proposes two algorithms to improve the performance of conventional LSB modification technique andAdvanced Encryption Standard (AES)techniqueused to improve the information security. Secret message encryption and embedding using Randomized LSB modification are the two powerful techniques combined to get high level confidentiality.These improvised techniques works against steganalysis and decreases the chances of secret information being extracted by an intruder. Proposed method is compared with variable higher bit approach. Here, instead of simply embedding the relevant bit in LSB, the whole byte value is modified so that it holds the data byte value being nearest to the original byte value.

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“…The hiding information, in addition to its application in steganography to protect property rights, is a means to make a hidden relationship. Depending on the type of function, researchers the different methods have suggested in the spatial domain and convert to audio steganography [6,7,8]. In the most of steganography methods, LSB methods are used to hide data.…”

Section: Audio Steganography Ethodsmentioning

confidence: 99%

Audio Steganography to Protect the Confidential Information: A Survey

Zinaly¹,

Naghipour²

2017

IJCA

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Steganography is a science to hide information, it hides a message to another object, and it increases the security of data transmission and archiving it. In the process of steganography, the hidden object in which data is hidden the carrier object and the new object, is called the steganography object. The multiple carriers, such as text, audio, video, image and so can be mentioned for steganography; however, audio has been significantly considered due to the multiplicity of uses in various fields such as the internet. For steganography process, several methods have been developed; including work in the temporary and transformation, each of has its own advantages and disadvantages, and special function. In this paper we mainly review and evaluate different types of audio steganography techniques, advantages and disadvantages.

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A variable higher bit approach to audio steganography

Cited by 5 publications

References 6 publications

Securing IoT Data Using Steganography: A Practical Implementation Approach

Securing IoT Data Using Steganography: A Practical Implementation Approach

Implementation of Embedding Text in Audio using Randomized LSB Method for Secured Audio Steganography

Audio Steganography to Protect the Confidential Information: A Survey

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