Game Theory Based False Negative Probability of Embedded Watermark Under Unintentional and Steganalysis Attacks

Steganalysis attack is to statistically estimate the embedded watermark in the watermarked multimedia,and the estimated watermark may be destroyed by the attacker.The existing methods of false negative probability,however,do not consider the influence of steganalysis attack.This paper proposed the game theory based false negative probability to estimate the impacts of steganalysis attack,as well as unintentional attack.Specifically,game theory was used to model the collision between the embedment and steganalysis attack,and derive the optimal building embedding/attacking strategy.Such optimal playing strategies devote to calculating the attacker destructed watermark,used for calculation of the game theory based false negative probability.The experimental results show that watermark detection reliability measured using our proposed method,in comparison,can better reflect the real scenario in which the embedded watermark undergoes unintentional attack and the attacker using steganalysis attack.This paper provides a foundation for investigating countermeasures of digital watermarking community against steganalysis attack.

Secure and Robust Digital Watermarking： A Survey

A digital watermarking technique is a multi-scientific discipline which is developed rapidly in last several years for digital content protection, such as copyright protection, authentication protection, source tracing, etc. However, in realistic scenarios, the digital watermarking system faces significant secure issues, for example, the attackers want to remove, detect, or embed illegal watermark signals. Therefore, the aim of this contribution is to illustrate recent results of robust and secure watermarking to the signal processing community, and highlight both benefits and still open issues. Specifically, this paper is intended to introduce the concept of secure and robust digital watermarking system, and provide with problems and their countermeasures. First of all, the classic watermark model and cryptosystem will be reviewed and then, the concept of secure and robust digital watermarking system will be described. Next, the watermark attack will be classified and described. Finally, some countermeasures that can help to improve secure and robustness are considered.

Wavelet-Based Denoising Attack on Image Watermarking

In this paper, we propose wavelet-based denois-ing attack methods on imagewatermarking in discrete cosine transform (DCT) or discrete Fourier transform (DFT) domain ordiscrete wavelet transform (DWT) domain Wiener filtering based on wavelet transform is performed inapproximation subband to remove DCI or DFT domain watermark, and adaptive wavelet soft thresholdingis employed to remove the watermark resided in detail subbands of DWT domain.

A robust color image watermarking algorithm against rotation attacks

A robust digital watermarking algorithm is proposed based on quaternion wavelet transform(QWT) and discrete cosine transform(DCT) for copyright protection of color images. The luminance component Y of a host color image in YIQ space is decomposed by QWT, and then the coefficients of four low-frequency subbands are transformed by DCT. An original binary watermark scrambled by Arnold map and iterated sine chaotic system is embedded into the mid-frequency DCT coefficients of the subbands. In order to improve the performance of the proposed algorithm against rotation attacks, a rotation detection scheme is implemented before watermark extracting. The experimental results demonstrate that the proposed watermarking scheme shows strong robustness not only against common image processing attacks but also against arbitrary rotation attacks.

Quantization Based Watermarking Methods Against Valumetric Distortions

Most of the quantization based watermarking algorithms are very sensitive to valumetric distortions, while these distortions are regarded as common processing in audio/video analysis. In recent years, watermarking methods which can resist this kind of distortions have attracted a lot of interests. But still many proposed methods can only deal with one certain kind of valumetric distortion such as amplitude scaling attack, and fail in other kinds of valumetric distortions like constant change attack, gamma correction or contrast stretching. In this paper, we propose a simple but effective method to tackle all the three kinds of valumetric distortions. This algorithm constructs an invariant domain first by spread transform which satisfies certain constraints. Then an amplitude scale invariant watermarking scheme is applied on the constructed domain. The validity of the approach has been confirmed by applying the watermarking scheme to Gaussian host data and real images. Experimental results confirm its intrinsic invariance against amplitude scaling, constant change attack and robustness improvement against nonlinear valumetric distortions.