Proposed approach for improving Bluetooth networks security through SVD audio watermarking

El‐Bendary, Mohsen A. M.; Haggag, Ayman; Shawki, F.; Abd-El-Samie, Fathi. E.

doi:10.1109/setit.2012.6481979

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…In this project the cover speech signal is converted to 2-D for SVD water marking, then the message to be transmitted is encrypted by using baker mapping version A [1][2][3], and watermarked the message into the 2-D changed cover signal using SVD technique [1]. Then for transmission it is again converted to 1D.…”

Section: System Implementationmentioning

confidence: 99%

“…The Singular Value Decomposition decomposes the cover signal into 3 matrices each of size same as that of cover 2-D matrix [1].…”

Section: Svd (Singular Value Decomposition)mentioning

confidence: 99%

“…There is a need for a robust audio watermarking approach with a higher degree of security, which can be achieved by embedding encrypted images in audio signals [8][9]. In this project, the chaotic Baker map is used for the encryption of the watermark image [1][2][3]. Then, the watermark is embedded in the audio signal using the SVD mathematical technique [1].…”

Section: Introductionmentioning

confidence: 99%

“…In this project, the chaotic Baker map is used for the encryption of the watermark image [1][2][3]. Then, the watermark is embedded in the audio signal using the SVD mathematical technique [1]. The audio signal is transformed into a 2-D format .The singular values (SVs) of the resulting 2-D matrix are used for watermark embedding.…”

Section: Introductionmentioning

confidence: 99%

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SVD audio watermarking

Gopan¹,

Joseph²

2016

IJCI

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It proposes an approach for audio watermarking using the singular value decomposition (SVD) mathematical technique. After transforming it into a 2-D format the encrypted image is embedded in the singular values of the audio signal. After watermark embedding, the audio signal is transformed again into a 1-D format. For encrypt the image chaotic encryption is used. It improves the quality of extracted images as proved experimentally, where it resists the noise and different attacks.

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Section: System Implementationmentioning

confidence: 99%

“…The Singular Value Decomposition decomposes the cover signal into 3 matrices each of size same as that of cover 2-D matrix [1].…”

Section: Svd (Singular Value Decomposition)mentioning

confidence: 99%