Facilitating and securing offline e‐medicine service through image steganography

Kamal, Abu Hena Mustafa; Islam, Mohammad Mahfuzul

doi:10.1049/htl.2013.0026

Cited by 21 publications

(15 citation statements)

References 24 publications

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“…In this communication system, an application that uses image steganography implants the secret message bits into an official image like a person's photograph, forensic evidence, satellite image, medical image and scanned document [1,2]. After the bit implantation task, the official image, known as the cover image, is termed as the stego image.…”

Section: Introductionmentioning

confidence: 99%

An image distortion-based enhanced embedding scheme

Kamal

Islam

2018

Iran J Comput Sci

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Many clandestine applications send their secret information, e.g., investigation reports, to a destination by implanting them into an image document, like forensic evidence. In that case, both the document and the implanted information are secret and equally important. To protect the document's information, called the cover information, from being disclosed, many reversible data embedding (RDE) schemes first destroy the cover information intentionally and then embed secrets into these destroyed contents. A reversible process in the receiver end retrieves both the implanted secrets and the cover information. The existing schemes suffer from less embedding capacity, i.e., embedded bits per pixel (bpp), because their reversible processes either are unable to implant bit(s) into every pixel or implant a chunk of message bits into a group of pixels where the length of the message bits is smaller than the number of pixels in the group. The article proposes a novel distortion-based RDE scheme that achieves an embedding capacity of 2 n bpp, where 0 ≤ n ≤ 3. The proposed scheme destroys the information in the image before and after the data implantation task to strongly obliterate both the cover information and the embedded bits. During implementing this proposed process, the scheme establishes seven levels of encapsulated securities and, thus, strengthens the security of the scheme. The maximum embedding capacity and the lowest level of image distortion that are achieved by the proposed scheme are 8 bpp and 5 dB, respectively. These two values significantly dominate the same figures that are achieved in its competing schemes.

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Section: Introductionmentioning

confidence: 99%

An image distortion-based enhanced embedding scheme

Kamal

Islam

2018

Iran J Comput Sci

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“…This amount of modification is termed as image distortion. [12]. There are many methods which are used in the field of image steganography.…”

Section: Introductionmentioning

confidence: 99%

“…The visual quality of stego image is computed by the peak signal to noise ratio (PSNR) or the mean square error (MSE). In authenticating smart card, the visual quality of the stego image is not a concern issue at all [12] because the image is stored in the chip of the smartcard and it is never communicated over the public network. Nevertheless, these images are communicated through an wire of about one meter from the chip to the terminal.…”

Section: Introductionmentioning

confidence: 99%

Securing the Smart Card Authentications Process by Embedment Random Number of Data Bits into Each Pixel

Kamal¹

2017

IJUNESST

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“…Cryptography plays a vital role in secure data transmission for wireless body area network (WBAN) applications [1][2][3]. The cryptographic algorithms are generally based on secret key and public key systems [4].…”

Section: Introductionmentioning

confidence: 99%

Design of cryptographically secure AES like S‐Box using second‐order reversible cellular automata for wireless body area network applications

Gangadari

Ahamed

2016

Healthcare Technology Letters

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In biomedical, data security is the most expensive resource for wireless body area network applications. Cryptographic algorithms are used in order to protect the information against unauthorised access. Advanced encryption standard (AES) cryptographic algorithm plays a vital role in telemedicine applications. The authors propose a novel approach for design of substitution bytes (S-Box) using second-order reversible onedimensional cellular automata (RCA 2 ) as a replacement to the classical look-up-table (LUT) based S-Box used in AES algorithm. The performance of proposed RCA 2 based S-Box and conventional LUT based S-Box is evaluated in terms of security using the cryptographic properties such as the nonlinearity, correlation immunity bias, strict avalanche criteria and entropy. Moreover, it is also shown that RCA 2 based S-Boxes are dynamic in nature, invertible and provide high level of security. Further, it is also found that the RCA 2 based S-Box have comparatively better performance than that of conventional LUT based S-Box.

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Facilitating and securing offline e‐medicine service through image steganography

Cited by 21 publications

References 24 publications

An image distortion-based enhanced embedding scheme

An image distortion-based enhanced embedding scheme

Securing the Smart Card Authentications Process by Embedment Random Number of Data Bits into Each Pixel

Design of cryptographically secure AES like S‐Box using second‐order reversible cellular automata for wireless body area network applications

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