A high quality image sharing with steganography and adaptive authentication scheme

Wu, Chia-Chun; Kao, Shang‐Juh; Hwang, Min‐Shiang

doi:10.1016/j.jss.2011.06.021

Cited by 69 publications

(21 citation statements)

References 28 publications

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“…In the study [2] process to keep the data integrity secured is done by using HMAC (Hash Message Authentication Code) and PSNR quality is also quite good with 43,54 db. While in the study [12] data integrity is using Huffman encoding techniques with a good quality PSNR of 61,48 db.…”

Section: Information Securitymentioning

confidence: 99%

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

Rojali¹,

Siahaan²,

Soewito³

2017

AIP Conference Proceedings

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Section: Information Securitymentioning

confidence: 99%

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

Rojali¹,

Siahaan²,

Soewito³

2017

AIP Conference Proceedings

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“…Chan and Cheng [10] proposed a simple LSB substitution-based hiding technique, and Wang et al [104] proposed an image-hiding method based on optimal LSB substitution and a genetic algorithm. Wu et al [111] proposed a secret image sharing scheme by applying optimal pixel adjustment process to enhance the image quality under different payload capacity and various authentication bits conditions.…”

Section: Steganographymentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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Data hiding is the process of hiding an amount of data, called secret message or watermark, into a cover media that may be audio, video, or image signal, in an imperceptible way for different purposes. Due to the advances in generation, storage, and communication technology of digital media, the necessity and importance of data hiding has drawn the attention of many researchers all over the world resulting in a lot of variants of data hiding scheme. This chapter provides a detailed review of the basic concepts of data hiding and a survey of its major variants developed so far. The chapter classifies the data hiding schemes based on several aspects of data hiding comprising artificial intelligence. Furthermore, the chapter also provides the recommendations to the interested users for further research. This review may be a useful insight and a good source for the users who are interested in the application of artificial intelligence in data hiding.

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“…The categories of lossless embedding schemes: spatial domain [6,7], convert schemes [9], cryptography based [3,10], and compressed domain schemes [4,11]. The spatial domain method can be divided into difference expansion (DE), and histogram shifting.…”

Section: Introductionmentioning

confidence: 99%

A New Lossless Embedding Techniques Based on HDWT

Huang

Feng

Hwang

2016

IETE Technical Review

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Considering information security, reversible data hiding methods provide an efficient and simple way to prevent illegal accessing and unauthorized tampering. Adopting converted techniques, original images are going to be transferred to a collection of coefficients to be altered for embedding secret message. Then, the coefficients are converted to stego-images inversely. And stego-images are able to be a cover image to embed secrete message at the next stage. The horizontal operation of Haar digital wavelet transformation transfers images format from spatial domain to frequency domain in this paper. Then, decimal of coefficients will be altered for hiding secret bits. Finally, the modified coefficients are inversely transformed to stego-images. Our scheme has high peak signal to noise ratio (PSNR) when bits per pixel are near one bit. In this paper, we are concerned about data hiding for a special kind of image.

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A high quality image sharing with steganography and adaptive authentication scheme

Cited by 69 publications

References 28 publications

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

Steganography algorithm multi pixel value differencing (MPVD) to increase message capacity and data security

Data Hiding Schemes: A Survey

A New Lossless Embedding Techniques Based on HDWT

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