the CSF characteristics of the HVS in order to embed the watermarking data on selected wavelet coefficients of the input image. The selected coefficients dwell on the detail sub bands and the information about the edges of the image were contained in them. Hence, the embedded information becomes invisible by exploiting the HVS which was less sensitive to alterations on high frequencies. The success of their method in terms of robustness and transparency was illustrated by results of the experiments conducted. Their approach performed against the diverse widespread signal processing methods as compression, filtering, noise and cropping splendidly.
A scaling based image-adaptive watermarking system which
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An adaptive image watermarking algorithm based on HMM in wavelet domain was presented by Zhang Rong- Yue et al. [27]. The algorithm considered both the energy correlation across the scale and the different sub bands at the same level of the wavelet pyramid and employed a vector HMM model. Intended for the HMM tree structure, they optimized an embedding strategy. They enhanced the performance by employing the dynamical threshold schemes. The performance of the HMM based watermarking algorithm against Stir mark attacks, such as JPEG compression, adding noise, median cut and filter was radically enhanced.
A multi-resolution watermarking method based on the discrete wavelet transform for copyright protection of digital images was presented by Zolghadrasli and S. Rezazadeh [21]. The watermark employed was a noise type Gaussian sequence. Watermark components were added to the significant coefficients of each selected sub band by considering the human visual system in order to embed the watermark robustly and imperceptibly. They enhanced the HVS model by performing some small modifications. The extraction of the watermark involved the host image. They measured the similarities of extracted watermarks using the Normalized Correlation Function. The robustness of their method against wide variety of attacks was illustrated.
An entropy-based method for
Goal of coding theory is different to data hiding method even though both methods use the error correction codes [23]. In coding theory, syndrome equation in the first stage of decoder block is used to detect and correct error which is not expected in advance at the encoder block, whereas in data hiding, syndrome is used to choose proper coefficients to insert a watermark signal and decrease distortion. In the embedding process, by choosing proper e(x), some of the host image bits are modified intentionally.
Information security is a major concept in today’s industrial and computer era, so security must be higher to protect the confidential data. Information security plays major role in computer and network security with the use of different cryptography algorithms that includes the encryption and decryption of data with the uses of the algorithm and the key. By means of text or numerical key for the encryption can be dangerous because with the several hack attacks that a key can be broken. So I have proposed a new mechanism that will replace the text key with the image pixels and can gain high security which cannot be easy to break without prior knowledge.
Designing and embedding a watermark for VoIP is the main goal of this paper, A new model is introduced and characterized by high robustness, high security and must be non-perceptual. The watermarking model is suitable for real-time service and supports the needs of embedding the watermark into the traffic of VoIP and its extraction additionally this model offers authentication and integrity. The model based on digital watermarking and steganography. Another factor was taken in consideration; the amount of data used and its influence on the voice quality of service.
The paper proposes data hiding with codeword substitution in encrypted H.264/AVC video streams. Here video is encrypted and data is hided in the video to maintain the security and privacy. In this way data hiding in encrypted domain without decryption preserves confidentiality of the content. By analyzing the property of H.264/AVC codec, the codeword of the intra-prediction modes, the code words of motion vector differences and code words of residual coefficients are encrypted with the stream ciphers. The data hider may embed additional data in the encrypted domain by using code word substitution technique, without knowing original content. Data extraction can be done in encrypted domain or in the decrypted domain.
new technique has been introduced which is the hybrid of encryption and wavelet-based ECG steganography technique .
Abstract. The growth of internet coupled with the rise in networked infrastructure has resulted in exponential increase in the multimedia content being shared over the communication networks. The advancement in technology has resulted in increase in multimedia piracy. This is due to the fact that it is very easy to copy, duplicate and distributes multimedia content using current day technology. In such a scenario Digital Rights Management is one of the prominent issues to be dealt with and tremendous work is going on in this direction round the globe. Digital watermarking and fingerprinting have emerged as fundamental technologies to cater to DRM issues. These technologies have been found to be of prominent use in content authentication, copy protection, copyright control, broadcast monitoring and forensic applications. Various requirements of a digital watermarking system include Imperceptibility, Robustness, Security, Payload and Computational complexity. The main requirement of real time DRM systems is lesser computational complexity and high robustness. This chapter proposes and analyses a robust and computational efficient Image watermarking technique in spatial domain based on Inter Block Pixel Difference (IBPD). The cover image is divided into 8×8 non overlapping blocks and difference between intensities of two pixels of adjacent blocks at predefined positions is calculated. Depending upon the watermark bit to be embedded; both the pixels are modified to bring the
wavelet based watermarking techniques shows to be immune to attacks, adding the quality of robustness to protect the hidden
Abstract: Steganography is a kind of secret communication method used to hide secret data in some digital media such as images, audio etc. Cryptography and watermarking are other similar techniques. Data is secured using these methods, but the fact that data is present somewhere gives us a specific target, whereas sole purpose of steganography is that none must know there is some hidden data in the file. So, steganography easily has upper hand over cryptography and watermarking. Steganography can use almost all kinds of media present over internet to transmit secret data. In this paper, we review some audio steganography techniques, their algorithms and some challenges faced in their design and implementation. We will look in detail some modified techniques for audio steganography. Also, we look at the problems faced with using mp3 files as cover media.
Biometric systems are used for recognising a user on the basis of biometric traits he have. During authentication some of the frequently asked questions are “Is he who he claims to be?”, “Is he a valid user for gaining access to the system?”. Biometric system answers all these questions by authenticating the users. Every second information is shared and transferred between people and it is important to make sure that what is sent by sender is what received by the receiver thus raising the demand of security. Steganography is one of the techniques used for securing the data. The secret message is hidden inside a cover media like audio, video or image with the help of a secret key. Biometric templates can also be secured with this technique. Instead of storing original templates in the database stego-image is stored. LSB is one of the common techniques that replace the LSB of every pixel of the cover image with the secret message to form stego-image.
The most of the recent work has spotlighted on texture synthesis by instance, where a source texture image is re-sampled by means of moreover pixel-based or else patch-based algorithms to create a novel synthesized texture image with related local appearance as well as arbitrary size. Texture synthesis has received much consideration in the recent times, in computer vision as well as computer graphics. This permits to take out secret messages and source texture from stego synthetic texture. Our proposed scheme can provide a variety of numbers of embedding capacities, generate a visually plausible texture images, and improve source texture. We suggest a novel method by means of reversible texture synthesis which conceals source texture image and embed secret messages all the way through procedure of texture synthesis.
The main goal of using the Image encryption is to avoid drawing attention to the transmission of hidden information. Storing the critical data in its original format is subjective to many risks. The embedding algorithm is used to embed the secret information in the image selected. Hashing is used to secure the sensitive information.
For video tampering process, the software should first decode the compressed videos and then work in the uncompressed domain. The tampered video should be re-encoded and saved in compressed format after interpolation. Therefore, the double compression artifacts, as the intrinsic characteristics, may reveal the occurance of tampering.
The piracy of software, images, video, audio, and text has long been a concern for owners of these digital assets. Protection schemes are usually based upon the insertion of digital watermarks into the data. The watermarking software introduces small errors into the object being watermarked. These intentional errors are called marks, and all the marks together constitute the watermark. The marks are chosen so as to have an insignificant impact on the usefulness of the data and are placed in such a way that a malicious user cannot destroy them without making the data significantly less useful.
DIGITAL image watermarking has become a necessity in many applications such as data authentication, broadcast monitoring on the Internet and ownership identification. Various watermarking schemes have been proposed to protect the copyright information. There are three indispensable, yet contrasting requirements for a
Digital images are very large in size and occupy large storage space. They take larger bandwidth and take more time for upload and download through the internet. In order to overcome this problem various compression algorithms are used. Wavelet based image coding, such as the JPEG2000 standard, is widely used because of its high compression efficiency. There are three important wavelet-based image coding algorithms are used that have embedded coding property enabling easy bit rate control with