Encoding a hidden auxiliary channel onto a digital audio signal using psychoacoustic masking

Tilki, John F.; Beex, A.A.

doi:10.1109/secon.1997.598705

Cited by 26 publications

(20 citation statements)

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“…Tilki and Beeks [10] employed a hybrid technique similar to amplitude-shift keying (ASK) and frequency-shift keying (FSK) for producing a 35 bits hidden digital signature onto the audio component of a television signal. It proved to be robust against most room noise.…”

Section: Watermarking Reviementioning

confidence: 99%

The Effect of Watermark Embedding on Signature Generation in Image Association Technique of Copyright Protection System

Rababaa¹

2014

IJCA

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The current research enhances the performance of an already proposed image protection system presented earlier. The former system relies on an association technique instead of embedding owner signature inside an image like traditional watermarking methods. Thus, it retains secured image characteristics against any type of tampering two additional units are involved at the second phase of the former system operation. The main functions of those two units are to resize and reform the image as a preprocessing before submitting it to common processing of signature generation. Neural network structures are used to build those two units. A method of data compression is used to save time and generalization feature of neural network. Samples of pixels with their encoded coordinates are used to construct a data base used for the training purpose where the relative coordinate is used instead of the absolute address of the pixels and then encoded to determine a useful data suitable for neural network processing. Major conclusion remarks are discussed to highlight the most significant recommendations needed for future work. General Termswatermarkong, Security.

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Section: Watermarking Reviementioning

confidence: 99%

The Effect of Watermark Embedding on Signature Generation in Image Association Technique of Copyright Protection System

Rababaa¹

2014

IJCA

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“…Popular multimedia includes images, audio, video and text [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Audio-based data-hiding methods [3,[17][18][19][20][21][22][23] can be divided into two categories. Time domain-based operations tend to replace the least significant bits [3,20], and the echo parts of a signal [3,23].…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Distortion is the most important limitation of steganography, and it must therefore be controlled to reduce awareness of the generated stego-media. Other methods for hiding data in audio are based on ideas that have been proposed by various authors [3,[20][21][22][23]. They include least-significant-bit (LSB), phase coding, spread spectrum, echo data-hiding and psychoacoustic masking methods.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Audio-based data-hiding methods [3,[17][18][19][20][21][22][23] can be divided into two categories. Time domain-based operations tend to replace the least significant bits [3,20], and the echo parts of a signal [3,23].…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Frequency domain-based operations include directly hiding secrets in high or low frequencies and spreading the secrets throughout band frequencies. The former approach is known as psychoacoustic masking [3,21] and the latter is known as spreading the spectrum [3,22,23]. Most audio-based methods suffer from the same problems as image-based methods, that is, the issue of distortion between cover and stego-medium.…”

Section: Introduction and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

High-Capacity Data-Hiding Scheme on Synthesized Pitches Using Amplitude Enhancement—A New Vision of Non-Blind Audio Steganography

et al. 2017

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This work proposes a new and non-blind steganographic scheme for synthesized pitches. Synthesized music is popularly used to demonstrate early versions of compositions conveniently and at low-cost. They can also be utilized to pass secrets or obtain digital rights. The method consists of two procedures, of which the first is the realistic simulation of synthesized pitches using a computer and the second is the hiding of secrets during the generated simulated pitches. The first part of this paper reviews attempts to discover the fundamental patterns of synthesized pitches and to develop a strategy for generating approximate pitches using a computer. The component frequencies are used to generate a pitch in which to hide secrets. Legal receivers receive the referenced composition and frequencies, enabling them to generate the synthesized pitches according to the main frequencies of the referenced composition. Finally, the generated and received pitches are compared to identify the secret bits. As more frequencies are used to hide secret bits, more secret bits can be embedded in the synthesized pitches. The use of more frequencies makes synthesized pitches more realistic compared to real ones. The performance of the proposed method is also compared with that of competing methods and under common attacks.

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Audio watermarking scheme based on embedding strategy in low frequency components with a binary image

Erçelebi

Batakçı

2009

Digital Signal Processing

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Encoding a hidden auxiliary channel onto a digital audio signal using psychoacoustic masking

Cited by 26 publications

References 1 publication

The Effect of Watermark Embedding on Signature Generation in Image Association Technique of Copyright Protection System

The Effect of Watermark Embedding on Signature Generation in Image Association Technique of Copyright Protection System

High-Capacity Data-Hiding Scheme on Synthesized Pitches Using Amplitude Enhancement—A New Vision of Non-Blind Audio Steganography

Audio watermarking scheme based on embedding strategy in low frequency components with a binary image

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