This paper presents SecretPixel, a steganographic tool that integrates random embedding techniques and advanced encryption to securely hide data within images. SecretPixel ensures confidentiality and integrity of the ...
详细信息
The increasing use of digital medical images in healthcare has raised significant concerns regarding their security, privacy, and integrity during transmission and storage. Unauthorized access, tampering, and image ma...
详细信息
Medical imaging is an essential component of the healthcare sector, enabling the transfer of medical images between widely separated locations to improve healthcare business practices. However, the transmission of med...
详细信息
ISBN:
(纸本)9798350338607
Medical imaging is an essential component of the healthcare sector, enabling the transfer of medical images between widely separated locations to improve healthcare business practices. However, the transmission of medical images across public networks can result in several security concerns, including those related to authentication, integrity, and confidentiality. Therefore, the major goal of this research is to ensure the security and accuracy of medical images by maintaining their confidentiality and integrity. This proposed method aims to enhance the security of medical images during their transmission across public networks. The method involves three main steps: compression, encryption, and embedding To achieve the goal of maintaining the integrity and confidentiality of medical images, this research utilizes a multi-step process. First, the medical image undergoes compression using the Singular Value Decomposition (SVD) technique to reduce its size and eliminate any noise. Following this, the compressed image is encrypted using the Advanced encryption Standard (AES) algorithm to ensure confidentiality. Finally, the encrypted image is securely enclosed within a cover image using the Least Significant Bit (LSB) steganographic technique to create a stego image. This technique ensures that the encrypted image is seamlessly incorporated within the cover image, without any visible or perceptible changes. This method ensures that the medical image remains confidential and maintains its integrity throughout the transmission process. Furthermore, this study developed the aforementioned technique, and the experimental outcomes were compared using MATLAB to hide medical images without encryption using LSB steganography as an additional layer of security. This study analyzed multiple medical image formats, including DICOM, TIFF, BMP, and JPEG. The findings indicate that combining encryption and steganography techniques provides improved results in terms of PSNR and MSE va
The protection of multimedia data, particularly images, has become crucial during the past few years. Over encryption or data-hiding technologies, image data, in particular medical image (MedImg) data, can be secured....
详细信息
In the contemporary digital landscape, characterized by ubiquitous internet connectivity and broad photo sharing, protecting secret data within photographs is becoming increasingly important. This study describes an i...
详细信息
The effective transmission and sampling of clinical images are important research areas in computer science, particularly in the healthcare industry. Methods such as personal area networking and body area networking a...
详细信息
The paper presents a reversible data hiding method with imagecompression consisting of Huffman coding and block encrypted. In the proposed approach, the image is used to compressed for generating the specified space ...
详细信息
image classification is an essential part of computer vision. A lot of approaches, in particular, based on applying convolutional neural networks have been proposed. In this paper, we investigate the impact of discret...
详细信息
This paper introduces a novel approach to enhance the efficiency of compressing Arabic Unicode text using the Lempel-Ziv-Welch (LZW) technique. This method includes two stages: transformation and compression. During t...
详细信息
This paper introduces a novel approach to enhance the efficiency of compressing Arabic Unicode text using the Lempel-Ziv-Welch (LZW) technique. This method includes two stages: transformation and compression. During the first phase, a multi-level scheme that works according to the level of words, syllables, and characters replaces multi-byte symbols with single-byte symbols, resulting in a binary output of 51%-75% smaller than the actual size and effective for compression. In the second phase: the outputs of the previous phase are received as inputs to the adaptive LZW technique, attached to a value representing the length of the initial phrase (minimum code length). This value is automatically determined according to the size of the data source to enhance the performance of LZW. The original data size is included in the compressed file to be used during the decompression process to detect the length of the initial phrase. The compression ratio achieved by the proposed method was compared to that of the traditional LZW technology that uses multi-byte encoded characters and a fixed initial length phrase, as well as two recent technologies, DEFLATE and Gzip. Experimental results indicate that our method achieves an average compression rate of about 71% and outperforms other methods for all forms of Arabic texts, with improved LZW able to compress an additional 7% or more or less of the files it compresses. Variable-length dictionary LZW continuously displays a significant difference in compression ratios for small files compared to modern methods, whether it uses a variable-width- encoding scheme only or with multi-level encoding as a precompression step. Multi-level schema can be used as a preprocess to other compression techniques, especially those that work efficiently with binary data. Also, the original data volume can be used as a private key within data security and encryption applications.
At present days, exponential growth in the transmission of multimedia data takes place due to a significant rise in network bandwidth and video imagecompressiontechnologies. However, the transmission of videos over ...
详细信息
At present days, exponential growth in the transmission of multimedia data takes place due to a significant rise in network bandwidth and video imagecompressiontechnologies. However, the transmission of videos over wireless channels often brings an unseen risk that sensitive video details might be corrupted and distributed in an illegal way. So, the security of video transmission has become a hot research topic. Several encryption models have been presented in the literature, yet, it is believed that the performance of encryption process can be further improved. In this perspective, an efficient novel video encryption technique is presented using an enhanced variant of Fully Homomorphic encryption (FHE) model called as EFHE model. By the hybridization of Ducas and Micciancio (DM) with the FHE model presented by Gentry, Sahai, and Waters (GSW), matrix operations vector additions are properly employed in the proposed EFHE model. In addition, a new key generation scheme to increase the fastness of the encryption process. The EFHE model is designed and placed on a cloud environment which leads to reduced cloud user's communication and computation complexity. It is ensured that the presented EFHE model is highly efficient and secure over the compared methods.
暂无评论