Steganography With Multiple JPEG Images of the Same Scene

Denemark, Tomáš; Fridrich, Jessica

doi:10.1109/tifs.2017.2705625

Cited by 55 publications

(24 citation statements)

References 25 publications

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“…The encrypted text is known as cipher text, and in order to retrieve the text back the receiver needs the key which is only meant to be shared with the authorized users [7]. During this process data or information is encrypted into cipher text format with the help of the a secret key, and the secret key is only shared with only the authorized person so that only they are able to decrypt the data or information using the same key which is used to encrypt the data or information [9].…”

Section: Cryptographymentioning

confidence: 99%

“…Tomas Denemark et.al. [7] defined a substitute kind of side information after examining a course of action of different JPEG photos of a comparable scene for applications when the sender does not approach a pre-cover. The additional JPEG pictures were used to choose the favored furthest point of embeddings changes to adjust the costs of changing individual DCT coefficients in a current embedding plan.…”

Section: Cryptographymentioning

confidence: 99%

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LSB based Steganography Techniques for Secured Communication

Kaushal¹,

Kakkar²

2018

IJCA

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Steganography is a data hiding technique which is used to prevent the data or any relevant information from falling to the hands of an unauthorized personal. So, in order to prevent such scenario the steganographic method is used using LSB matching technique in which the LSB of the pixels of the cover media is replaced with that of the relevant information and the cover media is chosen based on characteristics known to only the sender and receiver and no one else can access it. The steganographic technique can find its relevance and scope in merely many field like Marketing, MNC's, Industry. The literature review has been done by keeping in mind to obtain ideas and techniques to detect and improve as much as possible to the steganographic techniques and through research and work done on MATLAB software, were able to detect LSB based steganographic encrypted image from the others. To this some remarks were added to improve the security and evident in result section.

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Section: Cryptographymentioning

confidence: 99%

Section: Cryptographymentioning

confidence: 99%

LSB based Steganography Techniques for Secured Communication

Kaushal¹,

Kakkar²

2018

IJCA

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“…A steganography technique to protect JPEG images from tampering proposed capturing two identical images instead of generating a secret text [20]. The instance information was attached as a watermark to the actual image for validation purpose.…”

Section: Related Workmentioning

confidence: 99%

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Bhatti¹,

Hussain²,

Qayyum³

et al. 2018

ijacsa

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Abstract-Digital images are a very popular way of transferring media. However, their integrity remains challenging because these images can easily be manipulated with the help of software tools and such manipulations cannot be verified through a naked-eye. Although there exist some techniques to validate digital images, but in practice, it is not a trivial task as the existing approaches to forgery detection are not very effective. Therefore, there is need for a simple and efficient solution for the challenge. On the other hand, digital image steganography is the concealing of a message within an image file. The secret message can be retrieved afterwards by the author to check the image file for its veracity. This research paper proposes Sabiomha, an image forgery technique that make use of image steganography. The proposed technique is also supported by a software tool to demonstrate its usefulness. Sabiomha works by inserting an invisible watermark to certain alpha bits of the image file. The watermark we have used to steganograph an image is composed of a combination of text inputs the author can use to sign the image. Any attempts to tamper the image would distort the sequence of the bits of the image pixel. Hence, the proposed technique can easily validate originality of a digital image by exposing any tampering. The usability of our contribution is demonstrated by using the software tool we developed to automate the proposed technique. The experiment which we performed to further validate our technique suggested that Sabimoha could be flawlessly applied to image files.

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“…This rather labor intensive method, however, was not practical or secure also because of the inherent difficulty to estimate the acquisition noise properties in the developed domain. A much more practical version of this concept appeared in [11,10], where the authors showed how multiple JPEG images of the same scene can be used to infer the preferred direction of embedding changes made to quantized DCT coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we make NS more practical by introducing JPEG compression and also by treating the developer as a black box. Similarly to [11,10], we use multiple instances of developed images in order to design our embedding strategy for each DCT coefficient.…”

Section: Introductionmentioning

confidence: 99%

Natural Steganography in JPEG Compressed Images

Denemark¹,

Bas²,

Fridrich³

2018

Self Cite

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In natural steganography, the secret message is hidden by adding to the cover image a noise signal that mimics the heteroscedastic noise introduced naturally during acquisition. The method requires the cover image to be available in its RAW form (the sensor capture). To bring this idea closer to a practical embedding method, in this paper we embed the message in quantized DCT coefficients of a JPEG file by adding independent realizations of the heteroscedastic noise to pixels to make the embedding resemble the same cover image acquired at a larger sensor ISO setting (the so-called cover source switch). To demonstrate the feasibility and practicality of the proposed method and to validate our simplifying assumptions, we work with two digital cameras, one using a monochrome sensor and a second one equipped with a color sensor. We then explore several versions of the embedding algorithm depending on the model of the added noise in the DCT domain and the possible use of demosaicking to convert the raw image values. These experiments indicate that the demosaicking step has a significant impact on statistical detectability for high JPEG quality factors when making independent embedding changes to DCT coefficients. Additionally, for monochrome sensors or low JPEG quality factors very large payload can be embedded with high empirical security.

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Steganography With Multiple JPEG Images of the Same Scene

Cited by 55 publications

References 25 publications

LSB based Steganography Techniques for Secured Communication

LSB based Steganography Techniques for Secured Communication

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Natural Steganography in JPEG Compressed Images

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