Realization of Efficient Steganographic Scheme Using Hybrid Edge Detection and Chaos

Jan, Aiman; Parah, Shabir A.; Hassan, M.; Malik, Bilal A.

doi:10.1007/s13369-022-06960-w

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…Before applying machine learning, if one wishes to implant privacy-preserving and securityrelated data [40]- [42] in the detected edge information that could be a promising technique to be used in the tele-medicine applications. Therefore, it is interesting to associate an edge detection method to divide the image contents into the edge and non-edge areas and to hide the data there [5,6,10,31,43].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand

Sultana¹,

Kamal²

2023

Adv. sci. technol. eng. syst. j.

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Edge detection-based image steganography schemes usually embed data in edge pixels only. However, some schemes embed data in non-edge pixels as well. In that case, the schemes embed more bits in the edges than in the smoothed areas. In all cases, the schemes perform large changes in a tiny area of the image during small data embedding. Detecting such local modifications is comparatively easier for a steganalyzer. As a result, it is preferable to distribute bits evenly across the image. Again, the schemes struggle to hide large messages in a cover image due to the algorithmic approach of hiding a fixed number of bits per pixel. In this research, we have overcome that problem by employing multiple edge detectors in generating a resultant edge image. Depending on the embedding needs, we have checked whether a single edge detector is sufficient to help in conceiving all bits or not. If it is not possible for a single-edge detector, we have hybridized them. Hybridization of edge images is performed either by logical AND, OR or OR with dilation. When the message size is very small, we have generated the resultant edge image by doing a logical AND operation among the edge images. That strategy have reduced the number of edge pixels as well as helped in distributing the to-be-embedded bits over the image in a more evenly manner. Similarly, to meet a larger embedding demand, we have performed a logical OR operation among the same edge images to increase the number of edge pixels. Even, to meet more embedding demand, we have dilated the OR-resultant image. These processes were carried out dynamically in the research according to an embedding demand. The experimental results deduce that this scheme embeds 92.37%, 73.92%, 74.78%, and 9.60% more bits than four competing methods. Similarly, for small embedding demand, the proposed scheme demonstrates 37.45%, 46.87%, 44.21%, and 55.56% higher PSNR values than the others. Moreover, statistical analyses state that this scheme demonstrates stronger security against attacks.

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Section: Introductionmentioning

confidence: 99%

An Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand

Sultana¹,

Kamal²

2023

Adv. sci. technol. eng. syst. j.

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A new four-tier technique for efficient multiple images encryption

Hosny,

Kamal

2024

Multimed Tools Appl

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People transmit millions of digital images daily over various networks, where securing these images is a big challenge. Image encryption is a successful approach widely used in securing digital images while transmitting. Researchers developed different encryption techniques that focus on securing individual images. Recently, encryption of multiple images has gained more interest as an emerging encryption approach. In this paper, we proposed a four-tier technique for multiple image encryption (MIE) to increase the transmission speed and improve digital image security. First, we attached the plain images to create an augmented image. Second, the randomized augmented image is obtained by randomly changing the position of each plain image. Third, we scrambled the randomized augmented image using the zigzag pattern, rotation, and random permutation between blocks. Finally, we diffuse the scrambled augmented image using an Altered Sine-logistic-based Tent map (ASLT). We draw a flowchart, write a pseudo-code, and present an illustrative example to simplify the proposed method and make it easy to understand. Many experiments were performed to evaluate this Four-Tier technique, and the results show that this technique is extremely effective and secure to withstand various attacks.

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Realization of Efficient Steganographic Scheme Using Hybrid Edge Detection and Chaos

Cited by 2 publications

References 23 publications

An Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand

An Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand

A new four-tier technique for efficient multiple images encryption

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