An Approach to Hide Information Using Wavelet Based Method (original) (raw)
Related papers
A Secure Steganography Technique using Discrete Wavelet Transformation
Allied Journals, 2015
Information security is the basic requirement of today digital communication. Everything is going digital, so the protection of information is much more important. The information security can be classified in to Steganography, Watermarking and Cryptography. steganography is the art and science of hiding secret information into digital media, so that no one can identified the presence inside the media. There are different types of carriers (ie. Image , video etc) for cover media. Steganalysis is type of attack against the steganography technique. To make security in communication system, new steganography method based on Discrete wavelet Transform is proposed. The proposed method hides secret message bits inside the intensity matrix of secret image. Then the Inverse Discrete Wavelet Transformation (IDWT) is applied to obtain the stegoimage. The performance of proposed design is investigated by comparing cover and stego image in terms of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE).
A Secured Image Steganography Technique using Wavelet Transform
Image steganography is applicable in department of defense, department of police, department of detective investigation and medical field. In image steganography, generally secret image is not hidden, instead of that a key is generated and that key is hidden in the cover image. By using that key the secret image can be extracted from the cover image. Wavelet Transform (WT) is used to hide the key. Wavelet Transform is very robust and secure because nobody can realize information which is hidden and hidden data cannot be lost because of noise or any signal processing operations. Experimental results show very good Peak Signal to Noise Ratio (PSNR), MSE and maximum error which is a measure of security. In this technique the secret image is hidden in the middle bit-planes of the integer wavelet coefficients in high frequency sub-bands.
A NOVEL DIGITAL IMAGE STEGANOGRAPHY USING DISCRETE WAVELET TRANSFORM
Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message, This can be achieve by concealing the existence of information within seemingly harmless carriers or cover, t he text, image, video, audio, etc can be used as a carrier to embed the information. In this paper, we propose a modified secure and high capacity based Steganography scheme of hiding a large - size secret image into a small - size cover image. Arnold transfor mation is performed to scrambles the secret image. Discrete Wavelet Transform (DWT) is performed in both images and followed by Alpha blending operation. Then the Inverse Discrete Wavelet Transformation (IDWT) is applied to get the stego image. We have inv estigated the performance of our scheme by comparing various qualities of the stego image and cover image, the modified Steganography is highly secure with certain strength in addition to good perceptual invisibility .
Image Steganography Based on Wavelet Families
Journal of Computer Engineering & Information Technology, 2013
Wavelet transforms are considered to be an ideal domain for image compression and transmission. The new generation still image compression standard JPEG2000 uses the bi-orthogonal CDF 5/3 wavelet (also called the CDF (2, 2) wavelet) for lossless compression and a CDF 9/7 wavelet for lossy compression. There are several known wavelet families such as Daubechies, Coiflet, Symlet, CDF, etc. The problem of selecting a suitable wavelet for signal and image processing has always challenged the researchers. The conventional wavelet filters often have floating point coefficients and couldn't realize the lossless reconstruction. The second generation wavelet transforms are based on lifting scheme and they map integers to integers. Thus they realize the lossless compression of image data with minimal memory usage and low computational complexity. For image steganography, the researchers have used mainly Integer Wavelet Transforms, viz., Haar Wavelet or CDF (2, 2).There are research papers investigating different wavelets and finding a suitable wavelet for image compression or image denoising, but the research on investigating wavelet families for the steganography is still an open problem. In this paper, we analyze some of the wavelets available in Matlab ver 8.0 using the modified LSB technique for the embedding of secret message in the transform domain. In the first stage, we obtain the secret message by encoding the original message with self-synchronizing codes, T-codes. In the preprocessing stage, we apply the hard thresholding to the high bands obtained by applying the wavelet transform to the original cover and obtain the noisy regions for hiding the message. The embedding technique used is modified LSB, as it is simple and fast, in the high bands of the transformed image. From experimental results, it is observed that the distortion is not visible through the naked eyes, though mathematically, it can be easily detectable through histogram analysis. The results show that Haar wavelets are best for the imperceptibility and security of image as compare to other wavelets.
An adaptive steganographic technique based on integer wavelet transform
2009 International Conference on Networking and Media Convergence, 2009
Steganography gained importance in the past few years due to the increasing need for providing secrecy in an open environment like the internet. With almost anyone can observe the communicated data all around, steganography attempts to hide the very existence of the message and make communication undetectable. Many techniques are used to secure information such as cryptography that aims to scramble the information sent and make it unreadable while steganography is used to conceal the information so that no one can sense its existence. In most algorithms used to secure information both steganography and cryptography are used together to secure a part of information. Steganography has many technical challenges such as high hiding capacity and imperceptibility. In this paper, we try to optimize these two main requirements by proposing a novel technique for hiding data in digital images by combining the use of adaptive hiding capacity function that hides secret data in the integer wavelet coefficients of the cover image with the optimum pixel adjustment (OPA) algorithm. The coefficients used are selected according to a pseudorandom function generator to increase the security of the hidden data. The OPA algorithm is applied after embedding secret message to minimize the embedding error. The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems.
Enhancing Security through Steganography by using Wavelet Transformation and Encryption
International Journal of Modern Trends in Engineering and Research, 2015
The technique of standard Steganography allows the secrete information for not being perceptible to a viewer. Moreover, there is another technique that is normally used to enhance the security of the information, which is usually called Cryptography. Cryptography is also the skill and knowledge of transforming information into a series of bits that appears as arbitrary and worthless for the viewer. The encryption/decryption process have gained high recognition in broadcast of secrete information like images and those generated for the security organizations which may enclose images of tactical planning information and geographical position images. However, the amalgamation of Steganography and Cryptography that is proposed can be useful for improving the security of secrete information. This paper provides an easiness of exchanging confidential information secretly between a sender and a receiver with multimedia files like images. This paper depicts the Enhancing Security through St...
In information security, an image steganography technique uses one of the most popular transforms; either a spatial domain or the frequency domain to conceal the secret information. In this paper, an image steganography system using the spatial domain technique to conceal secret information in the frequency domain is proposed to conceal secret image information in another cover image. The Integer Wavelet Transform (IWT) used to obtain high scalable sub bands for each LL, LH, HL and HH of the cover image file. Then, the steganography approach is used to conceal the secret information in the wavelet coefficients for all sub bands. The results show high quality of stego image, and the stego image is analyzed for different attacks. It is found that the technique is robust, and it can withstand the attacks. The quality of the stego image is measured by Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM), and Universal Image Quality Index (UIQI). The quality of extracted secret image is measured by Signal to Noise Ratio (SNR) and Squared Pearson Correlation Coefficient (SPCC).
A Discrete Wavelet Transform Approach for Enhanced Security in Image Steganography
International Journal of Cyber-Security and Digital Forensics, 2016
The magnitude of the growth in the Internet combined with the increase in technological innovations pose serious threats to the process of digital data transmission. The government, military, small and large businesses and corporations, and individuals transmit private or confidential information over public and private networks every day creating a need for preserving the confidentiality of this information. But because of the growth of the Internet and technology, the security of information and data being transmitted and received is at risk of being copied, destroyed, and/or modified. In this paper, an advanced, multi-level security steganographic method will be presented. The proposed system combines two hiding methods, namely Cryptography and Steganography. Cryptography involves encrypting the secret data or information into a non-recognizable cipher. Steganography is then employed using the Discrete Wavelet Transform (DWT) method, to embed the encrypted data into a cover medium to hide its existence. The proposed system employs wavelet-based fusion while manipulating the embedding strength factors in order to improve the overall hiding capacity, imperceptibility, robustness and security of the final steganographic image.
Image Steganography Technique Using Daubechies Discrete Wavelet Transform
2015
The world in modern days is being more and more tied up to the use of technology for facilitating day to day tasks. In this regard, information security is turning to be great challenge when sending information from one place to another with the aid of technology. Steganography is one of the techniques for the safe transmission which involves hiding information generally with other information that only the receiver will know. In this research, steganography technique using Daubechies Discrete Wavelet Transform (DWT) is implemented. First the cover image is transformed using Daubechies DWT and secret information is embedded in coefficients of Daubechies DWT which gives stego image. Reverse process is applied to obtain secret information from stego image. The performance of the proposed approach is evaluated using PSNR and MSE. Also analysis is done to find the best sub-band to hide information among different sub-bands of Daubechies DWT.
IJERT-A Modified High Capacity Image Steganography using Discrete Wavelet Transform
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/a-modified-high-capacity-image-steganography-using-discrete-wavelet-transform https://www.ijert.org/research/a-modified-high-capacity-image-steganography-using-discrete-wavelet-transform-IJERTV2IS80678.pdf Steganography is the most used technique for data hiding. We can implement it using any cover media like text, images and videos. This research presents a technique for image steganography based on DWT, where DWT is used to transform original image (cover image) from spatial domain to frequency domain. Two dimensional Discrete Wavelet Transform (2D-DWT) is performed on cover image of size M × N. The secret message is encrypted using Blowfish encryption algorithm. There are many cryptography techniques available. Among of them Blowfish is one of the most powerful techniques. This system will modify the LSB technique by putting the encryption step and new insertion algorithm. It improved the image quality and imperceptibility. Our method sustains the security attacks. Proposed system presents our new insertion technique which embeds the secret messages in frequency domain. It can measure the quality of container image with secret image after image hiding process PSNR values. Extensive testing is performed using different sizes of images and presented our results in payload and PSNR values.