A secure and robust audio watermarking scheme using multiple scrambling and adaptive synchronization

Lin, Yiqing; Abdulla, Waleed H.

doi:10.1109/icics.2007.4449673

Cited by 8 publications

(1 citation statement)

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“…The particular importance of hiding data in audio files results from the prevailing presence of audio signals as information vectors in the human society. Most audio steganographic methods, proposed in the past few years, hide messages either in the time domain [4] by directly altering the bits of the cover audio samples, in transform domain [5,6] using various transformation techniques or in a combination of both [7]. Different domains have their special features which make them suitable for different applications.…”

Section: Introductionmentioning

confidence: 99%

A Robust Audio Steganographic Scheme in Time Domain (RASSTD)

Pal¹,

Ghoshal²

2013

IJCA

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Digital Steganograpic techniques hide secret messages in a cover media (mostly image, audio or video) in an imperceptible manner which cannot be detected by unintended recipient. In addition to imperceptibility, security, capacity and robustness are the other major challenges for an effective steganographic technique. This article proposes a novel steganographic method, considering maximum secrecy, high capacity and robustness against certain attacks. The method utilizes uncompressed digital audio signals as the carrier and hides different types of digital payloads (image/text/audio) in the time domain. In the process of embedding multiple payload bits (either 2 bits or 3 bits) are embedded in each of the sample values at pseudo-random positions. The pseudo-random positions are generated using a logical expression which is devised as a function of both the cover and the payload involved to make the algorithm inherently robust against potential collusion attacks. Various objective and subjective metrics have been used to measure the performance of the proposed technique. Also test results have been presented to analyse its robustness against white noise and collusion attack.

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Section: Introductionmentioning

confidence: 99%