Stegano Image Research Articles

AFcIHNet: Attention feature-constrained network for single image information hiding

Single image information hiding aims to obtain a stegano image by hiding a secret image within a cover image. Recently, deep neural network (DNN) based information hiding methods have been advanced extensively. However, it is difficult for them to preserve the spatial information at different scales on each channel feature map in the stegano image, largely because of a lack of effective features and feature fusion. In this paper, a bi-channel attention feature-constrained pixel-shuffle information hiding network (AFcIHNet) is proposed to efficiently enhance the detailed spatial information in the stegano image. First, the invertible neural network (INN) is employed for the information hiding task, which is adaptively constrained by the proposed bi-channel attention module (Bi-AM). The capability of the Bi-AM module is further enhanced by the introduction of a novel attention loss function. In addition, to take full advantage of the attention based feature fusion mechanism that combines the global and local contexts of the features, we used the Squeeze and Concat (SPC) module with adaptive branching factors, the model can hierarchically approach the input feature map from local to global. Extensive experiments on the DIV2K and COCO datasets show that the proposed method can produce competitive stegano images when compared with some state-of-the-art methods. Finally, we can get a secret image that is closer to the original image. Peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and average pixel difference (APD) were used to evaluate the experimental effects of cover and stegano images as well as secret and recovered secret images. The experimental results show that the obtained stegano and cover images are more indistinguishable, and the recovered secret image is closer to the original image. Overall, the overall performance is improved by nearly 0.8% compared to the existing baseline model.

Aplikasi Steganography Pdf To Image Dengan Metode Spread Spectrum

Therefore we need a way to secure the data / information to be sent. Steganography is a technique that can be used to secure data/information. Steganography is a technique used to hide messages in a medium such as images, audio and video. Based on these problems, the authors make a steganography application that can be used to hide PDF files into image media (cover image), and can be used to retrieve PDF from images that have been inserted (Stegano Image). The image media used as input (cover image) is in JPG format. The algorithm used to hide and retrieve PDFs and from images is Spread Spectrum. As for testing the system, the results are in accordance with what has been targeted, the results show that encryption and decryption are carried out by testing the table 5 times.

An Image Steganography Algorithm using Fractional Discrete Wavelet Transform with Advanced Encryption System

The research constitutes a distinctive technique of steganography of image. The procedure used for the study is Fractional Random Wavelet Transform (FRWT). The contrast between wavelet transform and the aforementioned FRWT is that it comprises of all the benefits and features of the wavelet transform but with additional highlights like randomness and partial fractional value put up into it. As a consequence of the fractional value and the randomness, the algorithm will give power and a rise in the surveillance layers for steganography. The stegano image will be acquired after administrating the algorithm which contains not only the coated image but also the concealed image. Despite the overlapping of two images, any diminution in the grade of the image is not perceived. Through this steganographic process, we endeavor for expansion in surveillance and magnitude as well. After running the algorithm, various variables like Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR) are deliberated. Through the intended algorithm, a rise in the power and imperceptibility is perceived and it can also support diverse modification such as scaling, translation and rotation with algorithms which previously prevailed. The irrefutable outcome demonstrated that the algorithm which is being suggested is indeed efficacious.

PENINGKATAN KEAMANAN DATA TEKS TERENKRIPSI ALGORITMA LUCIFER MENGGUNAKAN STEGANOGRAFI GIFSHUFFLE PADA CITRA

Increased resistance to the algorithm used to secure secret messages is very necessary. This is caused by the ability of the attackers who are able to justify various ways to solve the algorithm used to secure data. Lucifer algorithm has many variants, one of which is a lucifer with a 16-round feistel network that operates on 128 bit blocks and uses 128-bit keys. Computing 2 ^ 36 plaintext and 2 ^ 36 complexity can attack this variant. This study describes the use of the gifshuffle algorithm to optimize the Lucifer algorithm in securing data. The gifshuffle algorithm is used to hide encrypted messages based on the Lucifer algorithm into the gif format media. Based on tests conducted, it was found that there were no significant differences in the cover image and stegano image after the message insertion process was carried out.Keywords: Cryptography, Steganography, Lucifer, Gifshuffle, message

A Grayscale Image Hiding Encode Scheme for Secure Transmission

Background: To transmit the secret data are in a secure manner or to prevent the intruder/ third party activities while transmitting secret data’s through the public networks are challenging task now. In order to deal with these situations, this paper presents an encryption/encoding technique of MSI (Modified Steganography for Image) for secret data before transmitting over the network. Methods: The MSI technique is classified into two phases, one is stegano image creation by encode process and another one is reconstructing the secret data from the stegano image by decode process. In encode process, the grayscale cover and secret images are considering as an input. In addition, segregation, 8-bit binary conversion, substitution and decimal conversion processes are doing a vital role in hiding the secret image into a cover image. The MSI encoded stegno image is almost equal to the cover image and it's not an easy to identify by the Human Visual Attack (HVA). Results & Conclusion: To evaluate the proposed MSI encoding process the time, signal to noise ratio, complexity and strength are considering as the parameters. In result, the MSI encode technique is providing good reconstruction image quality, strong against the pixel attack and HVA, less execution time than the conventional schemes.

Design of an Efficient Steganography Model using Lifting based DWT and Modified-LSB Method on FPGA

The data transmission with information hiding is a challenging task in today world. To protect the secret data or image from attackers, the steganography techniques are essential. The steganography is a process of hiding the information from one channel to another in data communication. In this research work, Design of an Efficient Steganography Model using Lifting Based DWT and Modified-LSB Method on FPGA is proposed. The stegano module includes DWT (Discrete Wavelet Transformation) with lifting scheme for the cover image and encryption with Bit mapping for a secret image, an embedded module using Modified Least Significant Bit (MLSB) Method, and Inverse DWT to generate the stegano image. The recovery module includes DWT, decoding module with pixel extraction and bit retrievals, and decryption to generate the recovered secret image. The steganography model is designed using Verilog-HDL on Xilinx platform and implemented with Artix-7 Field Programmable Gate Array (FPGA). The hardware resource constraints like Area, time, and power utilization of the proposed model results are tabulated. The performance analysis of the work is evaluated using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) Ratio for a different cover and secret images with better quality. The proposed steganography model operates at high speed, which improves communication performance.

Perceptual Quality Analysis using Own-Develop Image Stegano Application

Background/Objectives: The goal of image steganography is to maintain communication between both parties without any intrusion from other parties. Image steganography is to embed a message into the cover image which is used as a carrier for embedding (messages) and produce stego-images (images that carry hidden messages). Method/Statistical analysis: It aims to provide an overview of image steganography, how to hide the secret message behind the image and analyze the perceptual quality of the stegano image by using the method of least significant bit (LSB) algorithm. Findings: The result will report the Own-Develop Stegano application and the analysis of perceptual quality images by using the application. Discussion will discuss about the usability of this study. Applications /Improvements: Conclusion and recommendation will suggest an enhancement to this application.

The pair-wise LSB matching steganography with a discrete quantum behaved Gravitational Search Algorithm

This paper presents a discrete quantum behaved gravitational search algorithm (DQGSA) which is used to provide a novel steganographic algorithm based on the spatial domain: Least Significant Bits (LSB). This approach improves the LSB matching method proposed by Mielikaien. Whereas Mielikaien's method uses a binary function to reduce the number of changed pixel values, in suggested method a three-score system is proposed to assess the performance of different orders for LSB matching. Afterward, the proposed DQGSA is employed to search for an optimal solution among all the permutation orders. By employing the proposed method, the distortion of the stegano image could be reduced while the probability of detection is decreased. The experimental results show that the proposed method achieves better performance than Mielikainen's pair-wise LSB matching method in less distortion (means higher visual quality) and more preservation against steganalysis.

A Fractional Random Wavelet Transform Based Image Steganography

This study presents a novel technique for image steganography based on Fractional Random Wavelet Transform. This transform has all the features of wavelet transform with randomness and fractional order built into it. The randomness and fractional order in the algorithm brings in robustness and additional layers of security to steganography. The stegano image generated by this algorithm contains both cover image and hidden image and image degradation is not observed in it. The steganography strives for security and pay load capacity. The performance measures like PeakSignal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index Measure (SSIM) and Universal Image Quality Index (UIQI) are computed. In this proposed algorithm, imperceptibility and robustness are verified and it can sustain geometric transformations like rotation, scaling and translation and is compared with some of the existing algorithms. The numerical results show the effectiveness of the proposed algorithm.

A Robust Steganography method Using Adjustable Parameters

In this paper, a new steganography method based on contourlet transform is presented. Compared with the previous works, the proposed method causes far fewer distortions in high frequency coefficients. This significantly increases the quality of stegano image and extracted secret image and its robustness against to steganalysis algorithm. Furthermore, we proposed two adjustable parameters that could be suited in direction of changing the quality of stegano image and extracted secret images or its robustness against to attacks and steganalysis algorithms. Using these parameters, much better performance of storing data is accessible. The proposed algorithm has higher robustness against to steganalysis algorithm in comparison with related state of the art methods. Likewise, the experimental results show robustness respect to Gaussian nois e and other attacks such as JPEG compression. DOI: http://dx.doi.org/10.11591/ijece.v3i2.2236

A New Approach For Image Hiding Based On Contourlet Transform

A new image hiding method based on the contourlet transform is proposed in this paper. This strategy is based on storing information in high frequency subbands of contourlet transform. The embedding approach is in direction that the contourlet sub-bands have the least statistical disorder. As a result, the proposed algorithm has a higher robustness against to common steganalysis approaches. In addition, the quality of stegano image has considerably improved in comparison with related state of the art methods, with the extracted secret image having an acceptable quality. Furthermore, the experimental results show robustness respect to Gaussian noise and other attacks such as JPEG compression. DOI: http://dx.doi.org/10.11591/ijece.v2i5.1433 Full Text: PDF

Steganography algorithm of image in multiwavelet domain based on grey relational analysis

Multiwavelet transform coefficients of image have relativity in adjacent region. Adjusting coefficient which has large relativity can bring influence on vision effect of image. In order to reduce the influence,the paper proposed a steganography of image in multivavelet domain based on Grey Relational Analysis (GRA). The steganography used GRA to compare geometric curve shape of central tree sequence and peripheral tree sequence of multiwavelet tree group in adjacent region,depicted their relativity,consequently found out coefficients tree that has very little relativity with other adjacent point in coefficient matrix as embedded location of secret information. And it made the quality of stegano image better by utilizing more dispersive characteristic of multiwavelet transform coefficient. Experimental result indicates the proposed algorithm has better imperceptibility and robustness.

Gabor Transform based Image Steganography

In this paper a scheme for steganography namely Gabor Transfrom based Image Steganography (GTIS) is proposed. In this scheme, image steganography is achieved using Gabor compression. In normal methods of steganography, the secret message is distributed in all pixels whereas in this scheme the distribution of secret message is more in high complex areas and less in low complex areas. Moreover for embedding the secret message over the image, pixel positions are obtained by Pseudo Random Number Generator. The password that is used by the generator function is known only to the sender and the receiver. Some of the inadequacies that have been identified in the literatures surveyed like known location storage, absolute compression etc have been overcome by GTIS. The experimental results prove the above claim. The quality and the histogram of the stegano image are very close to that of the original one. In addition, this scheme can survive efficient lossless compression for hiding data.