Key-Based Scrambling for Secure Image Communication

Premaratne, Prashan; Premaratne, Malin

doi:10.1007/978-3-642-31837-5_38

Cited by 20 publications

(11 citation statements)

References 10 publications

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“…Usman et al suggested randomly permuting the rows and the columns of an image in order to break the correlation of the edges [21]. In [22], Premaratne et al proposed a similar approach. Wright et al proposed two scrambling techniques [23].…”

Section: B Image Encryptionmentioning

confidence: 99%

Recompression of JPEG Crypto-Compressed Images Without a Key

Itier

Puteaux

Puech

2020

IEEE Trans. Circuits Syst. Video Technol.

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The rising popularity of social networks and cloud computing has greatly increased number of JPEG compressed image exchanges. In this context, the security of the transmission channel and/or the cloud storage can be susceptible to privacy leaks. Selective encryption is an efficient tool to mask image content and to protect confidentiality while remaining formatcompliant. However, image processing in the encrypted domain is not a trivial task. In this work, we present a JPEG cryptocompression method which allows us to recompress a JPEG crypto-compressed image several times, without any information about the secret key or the original image content. Indeed, using the proposed method in this paper, each recompression can be done directly on the JPEG bitstream by removing the last bit of the code representation of each non-zero coefficient, adapting the entropic code part, and slightly modifying the quantization table. This method is efficient to recompress JPEG crypto-compressed images in terms of ratio compression. Moreover, the decryption of the recompressed image produces an image with a very similar visual quality when compared to the original image, according to the obtained results.

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Section: B Image Encryptionmentioning

confidence: 99%

Recompression of JPEG Crypto-Compressed Images Without a Key

Itier

Puteaux

Puech

2020

IEEE Trans. Circuits Syst. Video Technol.

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“…This paper presents a comparative study of some popular cryptographic image scrambling methods like generalized matrix-based scrambling (transformation) [5] using Arnold's transform [1] and Fibonacci transform [27], gray code with bit plane transformation [25], 2D mapping [20], key based row and column shifting [18], [10] and Fu et. al.…”

Section: Introductionmentioning

confidence: 99%

“…Key based scrambling for secure image communication is used in [18], [10], a random sequence is generated. Using this random sequence, the rows of the image is swapped.…”

Section: Introductionmentioning

confidence: 99%

A Comparative study on Cryptographic Image Scrambling

Mondal¹,

Biswas²,

Mandal³

2017

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

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Abstract-In the last few decades, a numerous number of image encryption algorithm has been proposed based on scrambling. Scrambling is the most crucial part of confusiondiffusion based encryption techniques. In the current scenario, the scrambling techniques are used without knowing the cryptographic effect, quality and computational complexity. Hence, an comparative study on scrambling techniques (permutation) is required. In this paper, a comparative study has been done on different scrambling techniques like matrix transformation, bit plane scrambling, 2D mapping and key based row and columns shifting techniques. To determine the quality and efficiency of the scrambling techniques, correlation, entropy, computational complexity have been considered. From the test results it was found that matrix based image scrambling applied on Arnold Transform was the best among the considered techniques in terms of correlation.

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“…This introduces high complexity and the resulting scrambled image histogram is modified in the process. Digital image scrambling cannot change the resolution of the images [19]. The images after scrambling show no difference or have no great difference from the original images, and can accurately express the content or meaning of the original images [12], [20].…”

Section: Multilevel Pixel Colour Values Scrambling Based Onmentioning

confidence: 99%

Multilevel Pixel Colour Values Scrambling Based on Shifting Image Technique

Abugharsa¹,

Almangush²

2018

IJCATR

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-Image scrambling is a useful approach to protect image data by confusing the image and thus prevent it from being misused. The issues concerning the relationship among the adjacent pixels of the scrambled image, the weakness of visual leakage, and similar histogram plots being produced, all affect the image scrambling process. This paper is aimed at determining the iteration level that is extracted from a secure key and a key mask for building a scrambling table which is used in the scrambling processes and modifying the pixel colour values. The technique begins by modified pixel colour values. These pixel colour values are then scrambled by reduce or the increase (modified) the pixel colour values in the image between the range of the colour (0 to 255) by using a vertical and horizontal scrambling method based on a scrambling table. The experimental results of the paper show that the pixel colour values scrambling technique has reduced the relationship among the image elements. This occurs because the entropy value of the scrambled images has increased and the correlation value is lower. Moreover, the scrambling degree of the scrambling technique has larger values for the scrambled image. Subsequently, the pixel colour value modification in the technique helps to confuse and amend the pixel colour values of the scrambled image to produce a different histogram plot when compared with plots made from the original images.

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Key-Based Scrambling for Secure Image Communication

Cited by 20 publications

References 10 publications

Recompression of JPEG Crypto-Compressed Images Without a Key

Recompression of JPEG Crypto-Compressed Images Without a Key

A Comparative study on Cryptographic Image Scrambling

Multilevel Pixel Colour Values Scrambling Based on Shifting Image Technique

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