Information Hiding in Noncoding DNA for DNA Steganography

Santoso, Kevin Nathanael; Lee, Suk-Hwan; Hwang, Won-Joo; Kwon, Ki-Ryong

doi:10.1587/transfun.e98.a.1529

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Steganography is the art and science of hiding secret information in a payload carrier (cover) and get a container [33]. It can be categorized by the cover forms to image [5], audio [34], video [35], text [36], DNA [37], etc. The most popular medium is the image because it has the biggest amount in our life.…”

Section: B Image Steganographymentioning

confidence: 99%

Multitask Identity-Aware Image Steganography via Minimax Optimization

Cui¹,

Zhang²,

Li³

et al. 2021

Preprint

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High-capacity image steganography, aimed at concealing a secret image in a cover image, is a technique to preserve sensitive data, e.g., faces and fingerprints. Previous methods focus on the security during transmission and subsequently run a risk of privacy leakage after the restoration of secret images at the receiving end. To address this issue, we propose a framework, called Multitask Identity-Aware Image Steganography (MIAIS), to achieve direct recognition on container images without restoring secret images. The key issue of the direct recognition is to preserve identity information of secret images into container images and make container images look similar to cover images at the same time. Thus, we introduce a simple content loss to preserve the identity information, and design a minimax optimization to deal with the contradictory aspects. We demonstrate that the robustness results can be transferred across different cover datasets. In order to be flexible for the secret image restoration in some cases, we incorporate an optional restoration network into our method, providing a multitask framework. The experiments under the multitask scenario show the effectiveness of our framework compared with other visual information hiding methods and state-of-the-art high-capacity image steganography methods.

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Section: B Image Steganographymentioning

confidence: 99%

Multitask Identity-Aware Image Steganography via Minimax Optimization

Cui¹,

Zhang²,

Li³

et al. 2021

Preprint

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“…The binary data will be embedded in an image. An image is a collection of pixels [6][7][8][9][10]. While taking a grayscale image the pixel value lies between 0 and 255, and when color images considered, it is a combination of the RGB value.…”

Section: Introductionmentioning

confidence: 99%

Pearl Pixel Steganographic Method for Grayscale Images using Location-Array Method

Raja¹,

Rajalakshmi²

2019

IJEAT

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Nowadays, the user of the internet is growing very fast, in which sends and receiving a messages become very easy using social media applications, meanwhile using these applications, the security is a very big issue. Today providing security for the essential data becomes too hard, intruders become smarter. They are using advanced techniques and models to access our data. For a long period cryptography algorithms were operated to protect the important data, but nowadays these algorithms are easily broken by the intruders. The steganography algorithms are considered as the next generation of cryptography; every user is able to create own algorithms to send and receive the important data. In this method, the secret data will embed into image pixel; many more algorithms are designed by the researcher using this idea. All of these algorithms embed the data into an image and transfer the stego image from one end to another end with stegokey at the receiver end with the help of a stego-key, they do the reverse engineering process in the stego image to get the original data which embedded by the sender side. In most of the algorithms, transfer the stego image and key is a very big concern. Since during the transmission time of stego image and key, anyone can make changes into that; like resize the image or cropping the same. If the receiver gets the damaged version of stego image, they can’t get the original message back. In that circumstances transmission of stego-image with stego-key, it needs more space and time to reach the destination as well as need to pay attention to the security. To overcome these problems, the proposed method does not transfer the stego image, due to which it is not required to compare the image before and after data insertion and no need to calculate the peak signal-noise ratio (PSNR). It shares stego key with the proper security key to recognize if any intruder made an attack on that. This method provides good security for the data

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