Proceedings ArticleDOI
Increasing the capacity of LSB-based audio steganography
Nedeljko Cvejic,Tapio Seppänen +1 more
- pp 336-338
TLDR
In this paper, a modification to standard LSB algorithm that is able to embed four bits per sample, thus improving the capacity of data hiding channel by 33% is presented, which makes use of minimum error replacement method for LSB adjustment and modified error diffusion method for decreasing SNR value.Abstract:
Conventionally, a perceptual limit of three bits per sample is imposed to the basic LSB audio steganography method. In this paper, we present a novel modification to standard LSB algorithm that is able to embed four bits per sample, thus improving the capacity of data hiding channel by 33%. The proposed algorithm makes use of minimum error replacement method for LSB adjustment and modified error diffusion method for decreasing SNR value. Objective test showed the algorithm succeeds in this task, while keeping SNR value close to the level of SNR obtained by standard LSB embedding with three bits per sample capacity. Subjective listening test proved that high perceptual transparency is accomplished even if four LSBs of host audio signal are used for data hiding.read more
Citations
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Journal ArticleDOI
Comparative study of digital audio steganography techniques
TL;DR: Current digital audio steganographic techniques are reviewed and evaluated based on robustness, security and hiding capacity indicators and a robustness-based classification of steganography models depending on their occurrence in the embedding process is provided.
Algorithms for audio watermarking and steganography
TL;DR: The main results of this study are the development of novel audio watermarking algorithms, with the state-of-the-art performance and an acceptable increase in computational complexity.
Proceedings ArticleDOI
Increasing robustness of LSB audio steganography using a novel embedding method
Nedeljko Cvejic,Tapio Seppänen +1 more
TL;DR: A novel high bit rate LSB audio watermarking method using the proposed two-step algorithm, watermark bits are embedded into higher LSB layers, resulting in increased robustness against noise addition or MPEG compression.
Information hiding using audio steganography - a survey
TL;DR: Different types of audio steganographic methods, advantages and disadvantages are discussed.
Proceedings ArticleDOI
A view on latest audio steganography techniques
TL;DR: A current state of art literature in digital audio steganographic techniques is presented and their potentials and limitations to ensure secure communication are explored.
References
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Journal ArticleDOI
On the limits of steganography
TL;DR: It is shown that public key information hiding systems exist, and are not necessarily constrained to the case where the warden is passive, and the use of parity checks to amplify covertness and provide public key steganography.
Proceedings Article
Robust audio watermarking in the time domain
P. Bossia,Ioannis Pitas +1 more
TL;DR: In this article, the authors proposed an audio watermarking method that uses a seed known only by the copyright owner to create the watermark signal to be embedded in the audio signal.
Journal ArticleDOI
Robust audio watermarking in the time domain
TL;DR: The audio watermarking method presented below offers copyright protection to an audio signal by modifying its temporal characteristics by modifying the output signal by means of a seed created by the copyright owner.
Journal ArticleDOI
High capacity image steganographic model
TL;DR: An image steganographic model is proposed that is based on variable-size LSB insertion to maximise the embedding capacity while maintaining image fidelity and two methods are provided to deal with the security issue when using the proposed model.
A Review of Data Hiding in Digital Images.
Eugene T. Lin,Edward J. Delp +1 more
TL;DR: This paper will review recent developments in data hiding, specifically as it pertains to copyright protection of digital images.