Steganographic Scheme based on Message-Cover matching

Steganography is one of the techniques that enter into the field of information security, it is the art of dissimulating data into digital files in an imperceptible way that does not arise the suspicion. In this paper, a steganographic method based on the Faber-Schauder discrete wavelet transform is proposed. The embedding of the secret data is performed in Least Significant Bit (LSB) of the integer part of the wavelet coefficients. The secret message is decomposed into pairs of bits, then each pair is transformed into another pair based on a permutation that allows to obtain the most matches possible between the message and the LSB of the coefficients. To assess the performance of the proposed method, experiments were carried out on a large set of images, and a comparison to prior works is accomplished. Results show a good level of imperceptibility and a good trade-off imperceptibility-capacity compared to literature.

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Design and Implementation of Lifting Based Wavelet and Adaptive LSB Steganography to Secret Data Sharing Through Image on FPGA

International Journal of Engineering and Management Research ◽

10.31033/ijemr.8.3.14 ◽

2018 ◽

Vol 8 (03) ◽

Author(s):

Kokila B. Padeppagol ◽

Sandhya Rani M H

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Image Data ◽

Image Steganography ◽

Cover Image ◽

Discrete Wavelet ◽

Least Significant Bit ◽

Secret Data ◽

Secret Image ◽

Design And Implementation

Image steganography is an art of hiding images secretly within another image. There are several ways of performing image steganography; one among them is the spatial approach.The most popular spatial domain approach of image steganography is the Least Significant Bit (LSB) method, which hides the secret image pixel information in the LSB of the cover image pixel information. In this paper a LSB based steganography approach is used to design hardware architecture for the Image steganography. The Discrete Wavelet Transform (DWT) is used here to transform the cover image into higher and lower wavelet coefficients and use these coefficients in hiding the secret image. the design also includes encryption of secret image data, to provide a higher level of security to the secret image. The steganography system involving the stegno module and a decode module is designed here. The design was simulated, synthesized and implemented on Artix -7 FPGA. The operation hiding and retrieving images was successfully verified through simulations.

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Securing Data: A Study on Different Transform Domain Techniques

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL ◽

10.37394/23203.2021.16.8 ◽

2021 ◽

Vol 16 ◽

pp. 110-120

Author(s):

Saugata Dutta ◽

Kavita Saini

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Discrete Cosine Transform ◽

Discrete Wavelet ◽

Transform Domain ◽

Secret Data ◽

Cosine Transform ◽

Video Steganography ◽

Public Network ◽

Review Study

Steganography is a technology which is utilized in securing information through hiding data over another data which can be stored or passed over public network without a clue that secret data is hidden in the cover medium. This article focus on securing and hiding the data through transform domain techniques used in Image, Audio and Video steganography. The review study throws light on the algorithm and properties of transform domain techniques and its benefits to utilize in securing data. Parameters such as imperceptibility, capacity and robustness are evaluated for discrete cosine transform (DCT) and discrete wavelet transform (DWT).

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Implementation and analysis of image steganography using Least Significant Bit and Discrete Wavelet Transform techniques

2020 5th International Conference on Communication and Electronics Systems (ICCES) ◽

10.1109/icces48766.2020.9137887 ◽

2020 ◽

Author(s):

Srushti S Yadahalli ◽

Shambhavi Rege ◽

Reena Sonkusare

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Image Steganography ◽

Discrete Wavelet ◽

Least Significant Bit

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Data Hiding in Grayscale Image using Least Significant Bit Technique and Discrete Wavelet Transform

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b6644.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 4999-5002

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Data Hiding ◽

Discrete Wavelet ◽

Grayscale Image ◽

Least Significant Bit ◽

Signal To Noise ◽

High Quality

In this paper, we present a model for data hiding using modified least Significant Bit and DWT concept to further improve the ability to embed as a picture good (EC).From the begin, each high-quality pixel produces 4 new pixels. The puzzle facts is concealed in all the four conveyed pixels. via then the pixels are fixed to improve the concept of the stego-pics. There are four separate stego-pictures crafted from the four unmistakable revised pixels. each stego-photo disguises one piece for every pixel. For Stego-photos, the typical peak signal-to-noise ratios (PSNR) the proposed procedure successfully withstand against RS-stego examination

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