Data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam. Data Hiding Fundamentals and Applications: Content Security in Digital Multimedia. 2019-01-25

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Embedding Distortion

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

On the other hand, if the stego signal passes unmodified through the channel or, if any modification occurs, it is not for the purpose of destroying the hidden message signal , we have steganographic communication with a passive warden. Abstract This dissertation presents an in-depth study of oblivious data hiding with the emphasis on quantization based schemes. The owners of this content face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for commerce. However, knowing the quantization characteristics in advance, the embedder can adjust its embedding distortion and processing distortion to lessen the effects of compression distortion. Nonoblivious data hiding methods need the original, while oblivious methods do not. Also discussed are intellectual property attacks and detection and response measures for thwarting those attacks. Data Hiding Fundamentals and Applications focuses on the theory and state-of-the-art applications of content security and data hiding in digital multimedia.

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data hiding : a practical by Husrev T. Sencar

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

More precisely, signals A1 and A metric space with distance measure d; and if d A1, A2 is small, A1 and A2 are perceptually close. Therefore, using the maximum correlation criterion, one can afford to increase the threshold in accordance with the statistics of ρ max. However, noting that the use of multiple codebooks enables embedding a watermark signal with less processing distortion, the correlation and distance properties of the extracted signal are improved. The E-mail message field is required. Data Hiding Fundamentals and Applications focuses on the theory and state-of-the-art applications of content security and data hiding in digital multimedia.

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Data Hiding Fundamentals and Applications: Content Security in Digital Multimedia

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

Note that all material available on paper may eventually be in electronic form. The cover signal is estimated and the stego signal is replaced by the obtained estimate. . We shall see that both methods are used for secure multimedia applications. He was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University performed research on Quantitative Finance. Accordingly, the encoding of the message m is performed by quantizing C in the N-dimensional signal space to the nearest lattice point in the corresponding coarse lattice, and the decoding is by quantizing the received Y to the nearest point in the fine lattice. This gives us an inspiration: we can use the fact that watermark embedding will cause fidelity reduction to achieve the grading control of the media fidelity.

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Data Hiding Fundamentals and Applications: Content Security in Digital Multimedia

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

Sencar, Mahalingam Ramkumar, and Ali N. On the other hand, the probability of error for single codebook hiding also decreases with the increasing signal size N. This requires the embedder to be modified in order to make comparisons between the watermarked signal and its quantized version, which will help to decide on the proper embedding and detection parameters. This attack can be effectively used to distort the pseudo-noise-like and high-pass watermark signals. Abstract This book is printed on acid-free paper. Data hiding is the art of hiding a message signal in a host signal without any perceptual distortion of the host signal. The embedding distortion is estimated, and then the modulation applied to the cover signal in generating the stego signal is reversed.

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Data Hiding Fundamentals and Applications

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

One of the pillars of content security solutions is the imperceptible insertion of information into multimedia data for security purposes; the idea is that this inserted information will allow detection of unauthorized usage. However, we also address some methods to regain synchronization once it is lost. Hutton, Kybernetes, Volume 34, Issue 7+8, 2005 Ali N. Therefore, the problem of achieving synchronization for data hiding is more challenging than traditional carrier and symbol synchronization methods. Although the Internet now puts communication, education, commerce and socialization at our finger tips, its rapid growth has raised some weighty security concerns with respect to multimedia content.

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Data Hiding Fundamentals and Applications : Husrev Taha Sencar : 9780120471447

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

The composite signal is usually referred to as the stego signal. Correspondingly, in the dual data hiding problem, the performance of an embedding and detection technique depends on the underlying codeword generation scheme. In the extraction phase, the watermarked signal s w is quantized and the watermark payload h, which is the compressed residual and the payload data, is extracted in Eq. The sent message, on the other hand, is detected by determining the nearest reconstruction point s to the received signal Y and generating the message by mapping the corresponding quantizer s to the message letters they are associated with. Akansu, in , 2004 7. As can be seen, the substance of the fidelity control for the cover media is to use the reversibility of the reversible watermarking technology to adjust the media fidelity in two opposite ways, to meet different application needs with different multimedia perceptual quality. Embeddingdetection schemes are devised for watermarking application of data hiding, where robustness against the attacks is the main concern rather than the hiding rate or payload.

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data hiding : a practical by Husrev T. Sencar

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

Although the Internet now puts communication, education, commerce and socialization at our finger tips, its rapid growth has raised some weighty security concerns with respect to multimedia content. However, the analytical results indicate that, as in Eqs. Zhe-Ming Lu, Shi-Ze Guo, in , 2017 2. The signal is encoded using integer values between 0 and s max. The compliant multimedia players will typically be connected to the Internet. Remaining sections and chapters take the reader, step by mathematical step, through data-hiding applications such as the use of hidden watermarks in images and video to verify ownership.

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Data Hiding Fundamentals and Applications: Content Security in Digital Multimedia

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

When the attacker has access to multiple copies of a cover signal watermarked with different keys or watermark signals, the attacker can successfully produce a signal with no watermark signal. Cyberneticians and systemists will find the book of interest and those who are directly involved with these online activities need to read it. The crux of these practical methods is that each codeword is directly generated from the given host signal and the watermark signal through quantization rather than maintaining a collection of shared U sequences. Data hiding would not be possible if we were not able or not permitted to modify the original signal. The quantization involved in compression will round embedded watermark signal values to discrete quanta values. The content providers supply the raw multimedia data e.

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Data Hiding Fundamentals and Applications : Husrev Taha Sencar : 9780120471447

data hiding fundamentals and applications sencar husrev t akansu ali n ramkumar mahalingam

The owners of this content face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for commerce. The consumers equipped with compliant players could obtain decryption keys, extract and honor the control information, and use data hiding to insert the fingerprint of the consumer before the decoded content is sent in the clear to the renderer. Akansu, in , 2004 8. The resulting bitstream is converted to L-ary symbols as mentioned previously. The owners of this content face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for commerce. Three main issues are specifically addressed: 1.

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