Standard methods used in the encryption and decryption process are implemented to protect confidential data. These methods require many arithmetic and logical operations that negatively affect the performance of the encryption process. In addition, they use private keys of a specific length, in addition to the fixed length of the data block used in encryption, which may provide the possibility of penetration of these methods, thus decreasing the level of security. In this research paper, a new method of digital image cryptography is introduced. This method is based on using a color image as an image_key to generate a sophisticated matrix private key (MPK) that cannot be hacked. The proposed method uses an initial state to set the required parameters, with secret information needed to generate the private key. The data-block size is variable, and the complicity of the MPK depends on the number of selected rounds and the data-block size. The proposed method is appropriate for publication in Symmetry because it employs a symmetrical complex matrix key to encrypt and decrypt digital images. The proposed method is simple yet very efficient in terms of throughput and scalability. The experiments show that the proposed method meets the quality requirements and can speed up the encryption–decryption process compared with standard methods, including DES, 3DES, AES, and Blowfish.
The human fingerprint is very important for human identification. Therefore, many works have been done to enhance the possibility of detecting a human fingerprint. This research article will explain how to build a high-performance fingerprint classification system. In the study presented in this research paper, the Kmeans clustering method will be used for several reasons, the most important of which is the flexibility of this method by controlling the number of values in the features vector of the fingerprint and more than one alternative can be used to form the features, as it is not sensitive to the process of rotating the fingerprint image. The key idea is to normalize the created fingerprint database and exploit the concept of deep learning to minimize the error between the calculated output and the desired target output. The artificial neural network architecture of different types of ANN will be expanded vertically and horizontally. These architectures will be trained and tested; the obtained training and testing results will be used to make some useful recommendations for using an artificial neural network as a recognition tool in the fingerprint recognition system.
The colored digital image is one of the most important and popular types of digital data for use in many vital applications, which requires the provision of safe methods to protect it from penetration operations and protect it from tampering and data thieves. In this research paper, a new method for protecting digital images of various types will be presented, which is characterized by ease of implementation and providing a high degree of security and protection for the digital image. A secret color image known only by the sender and receiver will be used as an image_ key, this image_key will be used to generate a private key to encrypt-decrypted any color image by applying image resizing. The private key will be variable, and will match the image block size. The image to be encrypted-decrypted will be divided into blocks, the block size will be variable and agree upon between the sender and receiver. The proposed method will be implemented, the obtained results will be analyzed to prove the efficiency, security level and quality parameters provided by the proposed method.
This research paper presents a novel digital color image encryption approach that ensures high-level security while remaining simple and efficient. The proposed method utilizes a composite key r and x of 128-bits to create a small in-dimension private key (a chaotic map), which is then resized to match the color matrix dimension. The proposed method is uncomplicated and can be applied to any image without any modification. Image quality, sensitivity analysis, security analysis, correlation analysis, quality analysis, speed analysis, and attack robustness analysis are conducted to prove the efficiency and security aspects of the proposed method. The speed analysis shows that the proposed method improves the performance of image cryptography by minimizing encryption–decryption time and maximizing the throughput of the process of color cryptography. The results demonstrate that the proposed method provides better throughput than existing methods. Overall, this research paper provides a new approach to digital color image encryption that is highly secure, efficient, and applicable to various images.
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