Modern day information age is enriched with the advanced network communication expertise but unfortunately at the same time encounters infinite security issues when dealing with secret and/or private information. The storage and transmission of the secret information become highly essential and have led to a deluge of research in this field. In this paper, an optimistic effort has been taken to combine graceful graph along with integer wavelet transform (IWT) to implement random image steganography for secure communication. The implementation part begins with the conversion of cover image into wavelet coefficients through IWT and is followed by embedding secret image in the randomly selected coefficients through graph theory. Finally stegoimage is obtained by applying inverse IWT. This method provides a maximum of 44 dB peak signal to noise ratio (PSNR) for 266646 bits. Thus, the proposed method gives high imperceptibility through high PSNR value and high embedding capacity in the cover image due to adaptive embedding scheme and high robustness against blind attack through graph theoretic random selection of coefficients.
With the growing demand for digitalization, multimedia data transmission through wireless networks has become more prominent. These multimedia data include text, images, audio, and video. Therefore, a secure method is needed to modify them so that such images, even if intercepted, will not be interpreted accurately. Such encryption is proposed with a two-layer image encryption scheme involving bit-level encryption in the time-frequency domain. The top layer consists of a bit of plane slicing the image, and each plane is then scrambled using a chaotic map and encrypted with a key generated from the same chaotic map. Next, image segmentation, followed by a Lifting Wavelet Transform, is used to scramble and encrypt each segment’s low-frequency components. Then, a chaotic hybrid map is used to scramble and encrypt the final layer. Multiple analyses were performed on the algorithm, and this proposed work achieved a maximum entropy of 7.99 and near zero correlation, evidencing the resistance towards statistical attacks. Further, the keyspace of the cryptosystem is greater than 2128, which can effectively resist a brute force attack. In addition, this algorithm requires only 2.1743 s to perform the encryption of a 256 × 256 sized 8-bit image on a host system with a Windows 10 operating system of 64-bit Intel(R) Core(TM) i5-7200U CPU at 2.5 GHz with 8 GB RAM.
In this digital era, securing multimedia information is receiving its due concern apart from securing textual data. Securing the image by utilising integer wavelet transform is the chief curiosity of the proposed work. This research work is envisioned to explore the use of reversible integer wavelet transforms (IWTs) for designing robust image encryption algorithm. The proposed exploration comforts to seal the gap in the space in between image encryption and the existing robust IWT. Ten different IWT namely Haar, 5/3, 2/6, 9/7-M, 2/10, 5/11-C, 5/11-A, 6/14, 13/7-T, 13/7-C are used for the analysis. Four keys utilised for image scrambling and image diffusion are generated with the help of the proposed combined chaotic system. Image scrambling is performed only on the approximation coefficients to get full image scrambling and bit XOR is used for image diffusion. This proposed method provides NPCR value as 99.6246%, UACI value as 33.5829, entropy value as 7.997 and very less correlation values. Simulation results prove that image encryption technique can be designed with various integer wavelet transforms.
With technological advancements, information transfer has become entirely digital, with images serving as a common source of sensitive data. This information must be securely transferred over the internet. This is where image encryption comes into play, and it has been proven to be a very successful method of data transfer in various sectors. In this paper, an efficient algorithm for image encryption is developed where pixel scrambling plays a key role. The encryption method begins with pixel scrambling, which is accomplished by first developing an algorithm for the chaotic map to generate a sequence key. The encrypted image is obtained by applying the generated sequence key to the original image, which is further encrypted using various mathematical computations, such as row and column-wise bit XOR operations, as detailed in the paper. The technique consists of many levels of encryption for securely transmitting data that is vulnerable to cyberattacks. The experimental results demonstrate that the proposed method is efficient.
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