Applications for data hiding

Bender, W.; Butera, William; Gruhl, Daniel; Hwang, Raymond; Paiz, F. J.; Pogreb, S.

doi:10.1147/sj.393.0547

Cited by 84 publications

(34 citation statements)

References 23 publications

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“…Other applications are video-audio synchronization, companies' safe circulation of secret data, TV broadcasting, TCP/IP packets (for instance a unique ID can be embedded into an image to analyze the network traffic of particular users) [1], and also checksum embedding [15]. Petitcolas [16] demonstrated some contemporary applications, one of which was in Medical Imaging Systems where a separation is considered necessary for confidentiality between patients' image data or DNA sequences and their captions, e.g., physician, patient's name, address and other particulars.…”

Section: Steganography Applicationsmentioning

confidence: 99%

“…However, it would be very hard to write a computer program capable of making such intelligent decisions in all possible cases, [70]". "While there are numerous techniques for embedding large quantities of data in images, there is no known technique for embedding this data in a manner that is robust in light of the variety of manipulations that may occur during image manipulation" [15].…”

Section: Originalmentioning

confidence: 99%

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Digital image steganography: Survey and analysis of current methods

et al. 2010

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Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is always to conceal the very existence of the embedded data. Steganography has various useful applications. However, like any other science it can be used for ill intentions. It has been propelled to the forefront of current security techniques by the remarkable growth in computational power, the increase in security awareness by, e.g., individuals, groups, agencies, government and through intellectual pursuit. Steganography's ultimate objectives, which are undetectability, robustness (resistance to various image processing methods and compression) and capacity of the hidden data, are the main factors that separate it from related techniques such as watermarking and cryptography. This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature. This paper concludes with some recommendations and advocates for the object-oriented embedding mechanism. Steganalysis, which is the science of attacking steganography, is not the focus of this survey but nonetheless will be briefly discussed.

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Section: Steganography Applicationsmentioning

confidence: 99%

Section: Originalmentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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“…Watermarking has many different applications [Barnett 1999;Bender et al 2000;Cox and Miller 2002;DWA 2007], such as ownership evidence, fingerprinting, authentication and integrity verification, content labeling and protection, and usage control. Watermarking schemes do not work effectively for all types of media and universally for various diverse applications.…”

Section: Introductionmentioning

confidence: 99%

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

Mohanty

Bhargava

2008

ACM Trans. Multimedia Comput. Commun. Appl.

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This paper presents a novel invisible robust watermarking scheme for embedding and extracting a digital watermark in an image. The novelty lies in determining a perceptually important subimage in the host image. Invisible insertion of the watermark is performed in the most significant region of the host image such that tampering of that portion with an intention to remove or destroy will degrade the esthetic quality and value of the image. One feature of the algorithm is that this sub-image is used as a region of interest for the watermarking process and eliminates the chance of watermark removal. Another feature of the algorithm is the creation of a compound watermark using the input user watermark (logo) and attributes of the host image. This facilitates the homogeneous fusion of a watermark with the cover image, preserves the quality of the host image, and allows robust insertion-extraction. Watermark creation consists of two distinct phases. During the first phase, a statistical image is synthesized from a perceptually important sub-image of the image. A compound watermark is created by embedding a watermark (logo) into the statistical synthetic image by using a visible watermarking technique. This compound watermark is invisibly embedded into the important block of the host image. The authentication process involves extraction of the perceptive logo as well statistical testing for two-layer evidence. Results of the experimentation using standard benchmarks demonstrates the robustness and efficacy of the proposed watermarking approach. Ownership proof could be established under various hostile attacks.

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“…The cover images were divided into 1024 blocks of 8x8 pixels. The confidential message was encrypted and by using raster scan [2], [6], [11], [16], [17], [20], [35], [36] four random scan paths [2], [18], [19], [31], [37] (Z scan SFC, Hilbert SFC, Zigzag SFC, Moore SFC ) message were embedded. The path which results least MSE and Maximum PSNR has been found for each block.…”

Section: Related Workmentioning

confidence: 99%

Divide and Conquer Steganography Model

Raja¹,

Rajalakshmi²

2014

IJCA

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Steganography is one of the vital topics in the field of information security. In this paper we propose, a new Steganography algorithm that generates and brings out steganographic secret information hidden in images. In the proposed algorithm, the cover image is partitioned into four non overlapping blocks and the confidential data bits are also divided. The data bits are embedded in scattered way into the four blocks. In each pixel either single colour channel or two colour channels are used to embed the confidential data bits depending upon the size of the data bits. The proposed method generates low MSE value and high PSNR value. The experimental outcome shows, the algorithm can overcome drawbacks of many existing algorithms.

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Applications for data hiding

Cited by 84 publications

References 23 publications

Digital image steganography: Survey and analysis of current methods

Digital image steganography: Survey and analysis of current methods

Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

Divide and Conquer Steganography Model

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