An Audio Watermarking Algorithm Based on Fast Fourier Transform

Wen, Xiumei; Ding, Xuejun; Li, Jianhua; Gao, Liting; Sun, Huiping

doi:10.1109/iciii.2009.95

Cited by 13 publications

(2 citation statements)

References 7 publications

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“…This type of steganography utilizes the weakness of the human auditory system. Human auditory system is only able to perceive and detect sound with a frequency range of 20 Hz~20 kHz or -5 dB~130 dB [13]. So, the audio components outside from the frequency range cannot be heard.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The embedding of a secret message into digital audio changes the quality of the audio. Therefore, in order to choose a good embedding method for steganography system, we must pay attention to several criteria, such as imperceptibility, secure, capacity, speed, and robustness [13,14]. While, the embedded data or message is a binary image, which is a black and white image.…”

Section: Proposed Methodsmentioning

confidence: 99%

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DWT-SMM-based audio steganography with RSA encryption and compressive sampling

2020

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Problems related to confidentiality in information exchange are very important in the digital computer era. Audio steganography is a form of a solution that infuses information into digital audio, and utilizes the limitations of the human hearing system in understanding and detecting sound waves. The steganography system applies compressive sampling (CS) to the process of acquisition and compression of bits in binary images. Rivest, Shamir, and Adleman (RSA) algorithms are used as a system for securing binary image information by generating encryption and decryption key pairs before the process is embedded. The insertion method uses statistical mean manipulation (SMM) in the wavelet domain and low frequency sub-band by dividing the audio frequency sub-band using discrete wavelet transform (DWT) first. The optimal results by using our system are the signal-to-noise ratio (SNR) above 45 decibel (dB) and 5.3833 bit per second (bps) of capacity also our system has resistant to attack filtering, noise, resampling and compression attacks.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Proposed Methodsmentioning

confidence: 99%