Steganographic algorithm based on a chaotic map

Kanso, Ali; Own, Hala S.

doi:10.1016/j.cnsns.2011.12.012

Cited by 37 publications

(13 citation statements)

References 33 publications

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“…In [8] a steganographic spatial domain algorithm was proposed based on single chaotic map to determine the pixel position of the host color image, the channel (red, green or blue) and the bit position of the targeted value in which a sensitive information bit can be hidden. While [9] presented an embedding algorithm for hiding encrypted messages in nonadjacent and random pixel locations in edges and smooth areas of images by detecting edges in the coverimage using improved edge detection filter.…”

Section: Related Workmentioning

confidence: 99%

Text Hiding in a Digital Cover Image using Two Dimensional Indexing based on Chaotic Maps

Mikhail¹,

Abouelseoud²,

Elkobrosy³

2016

IJCA

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This paper presents a new approach for secure hiding of textual data in a colored digital image. Use of images as a cover media in steganography is based on the deficiencies in the human visual system (HVS). The proposed technique employs two independent chaotic sequences for specifying the locations where the message bits are embedded in the cover image using an adapted version of the least significant bit (LSB) method. Message bits are embedded using the 3-3-2 LSB insertion method for the chaotically selected pixels of the cover image. This technique provides sufficient security as the same sequence of numbers cannot be generated without knowing the exact key; that is; the initial conditions of the two chaotic maps used in the index selection process. Moreover, the preliminary results ensure that eavesdroppers will not have any suspicion that there is a message hidden within the sent image since the peak signal to noise ratio (PSNR) is high and the mean-squared-error (MSE) is low. Furthermore, the length of the secret message is another important component of the key, which standard steganography detection methods cannot estimate correctly. Finally, the proposed approach provides better PSNR values and MSE values compared to other existing techniques as apparent from our experimental results.

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Section: Related Workmentioning

confidence: 99%

Text Hiding in a Digital Cover Image using Two Dimensional Indexing based on Chaotic Maps

Mikhail¹,

Abouelseoud²,

Elkobrosy³

2016

IJCA

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“…During World War II, it was also reported that various steganographic methods such as Microdots and the use of invisible ink [11,12] came into picture. This is considered to be one of the ancient methods of secret message passing.…”

Section: Literature Surveymentioning

confidence: 99%

“…According to Ki-Hyun Jung [13] the highest embedded capacity must be within the acceptable image quality and also the capacity of the embedding is restricted with the lower distortion of the image [11,14].The easiest way to hide data is to embed cipher texts by hiding bitmaps in colour picture [14]. Here the number of bits that is being traversed is perceived.…”

Section: Literature Surveymentioning

confidence: 99%

Secured Information Hiding Through Shannon-Fano-Elias Coding Technique

Sruthi¹,

Karthikeyan²,

Sharanya³

et al. 2016

Int. Jour. Intel. Elec. Sys.

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Abstract-The idea of secretly sending information has seen its importance as old as the communication evolved itself. Steganography is nothing but to embed the secret information in an image, audio or in a video. The sensitive image that contains the secret information is called the stego-image. This information hiding makes sure that only the sender and receiver can suspect the existence of secret information in the image. The main advantage of the steganographic technique is that the secret information does not draw attention (remains subtle). In this way the hidden information is highly secured. Shannon-FanoElias is one technique of embedding the secret information where the embedding of secret string is done by generating a code word for each character in a string. By this technique high degree of data encryption is made possible. In order to make sure that the stego images are not being easily intruded, a check of the quality of stego images is done by calculating the Peak Signal To Noise Ratio (PSNR) and Mean Square Error (MSE). This paper provides a simple avant-garde review and the various analysis of the Shannon-Fano-Elias algorithm with some standards and general rules unfolded from various analysis.

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“…The irregular outputs of the cat map are used to scatter a secret message in mid-band coefficients of a digital cover image, resulting from discrete wavelet transform.The algorithm has good imperceptibility according to two similarity measures, namely the PSNR and the SSIM index. A. Kanso et al [6] proposed stegnographic spatial domain algorithm based on single two-dimensional chaotic map .This algorithm embeds the secret data using chaotic map in a random-like manner into pixels of host image .This algorithm provides high security level since the pixel position are chosen by chaotic map.…”

Section: Introductionmentioning

confidence: 99%

Ensemble of logistic maps with genetic algorithm for optimal pixel selection in image steganography

Chandrasekaran¹,

Arumugam²,

Rajkumar³

2015

2015 2nd International Conference on Electronics and Communication Systems (ICECS)

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Due to the explosive growth of internet technologies and its applications, steganography and steganalysis have become an prominent area of research. Least Significant Bit (LSB) substitution, a spatial domain steganographictechnique involves replacement of the least significant bit of randomly selected pixels in the cover image with the secret message bit. The distortion in the cover image increases with the increasein size of the information to be hidden. The research focus of the problem is to optimize the pay load capacity subject to minimal visual degradation. The problem solution is to employ logistic maps for the random selection of pixels. The randomness of the pixels selected is further optimized by the application of genetic algorithm subjected to the minimal distortion of the cover image. Experimental results prove the robustness of the proposed algorithm in terms of improved payload capacity, minimal degradation in picture quality, high randomness in pixel selection and high security compliance.

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Steganographic algorithm based on a chaotic map

Cited by 37 publications

References 33 publications

Text Hiding in a Digital Cover Image using Two Dimensional Indexing based on Chaotic Maps

Text Hiding in a Digital Cover Image using Two Dimensional Indexing based on Chaotic Maps

Secured Information Hiding Through Shannon-Fano-Elias Coding Technique

Ensemble of logistic maps with genetic algorithm for optimal pixel selection in image steganography

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