Recently, with the requirement for protecting the privacy of images transferred over the internet and media networks. The need to protect these images from hacking by unauthorized persons and from the manipulation of these images has become very important in this research, Block chain technology was used for its importance in cybersecurity. To maintain the confidentiality of the patient's medical data, as a result, to solve this problem requires increasing the strength of the key used in the encryption process, which is responsible for ensuring the security of the image .In this paper, it is proposed to use block chain technology with the Data Encryption Standard (DES) algorithm for the purpose of increasing the degree of security of the transmitted images by enhancing the key during the process of encrypting the transmitted images as well as increasing the degree of authentication between the sender and receiver. Experimental outcomes manifested that the security of encryption image that gained via the suggested algorithm is higher, performing the goal of protecting the information of medical image, as presented by the results obtained in Entropy, MSE, and PSNR.

The goal of enabling small business owners and customers to accept digital payments for cashless, safe, and effective transactions has propelled the growth of electronic wallets, commonly known as digital wallets or e-wallets. E-wallet design has made it a priority to give consumers a practical, safe, and efficient way to manage their digital assets, such as cryptocurrencies, whereas facilitating online transactions. The presented research developed a technique to pinpoint the transactional structure of digital economy's e-wallet payment system. The purpose of the presented research is to offer a reliable and trustworthy analysis which will increase public awareness of digital currency and encourage its use in online transactions. This research's goal is to deliver a reliable and precise analysis which will increase public awareness regarding e-wallet transactions. Additionally, the framework outlined in this research encourages the growth of medium-and small-sized firms operating in digital economy.

The evolution of electronic wallets (e-wallets) is driven by the desire to foster widespread adoption of digital payments among consumers and small businesses, The evolution of electronic wallets (e-wallets) is driven by the desire to foster widespread adoption of digital payments among consumers and small businesses,

There is a demand for a digital currency that facilitates remote trading over the Internet and strives to reduce external control, ensuring that transactions are conducted only between authorized persons or parties involved in the transfer. The financial sector has been significantly impacted by cryptocurrency, or digital currency, which brings new potential and challenges. The concept of digital currency is thoroughly examined, as are its complicated implications on various aspects of the economy. Trading digital currencies via the Internet may be vulnerable to theft and forgery due to the development of hacker programs. Therefore, we proposed to design a new digital currency and then built a 16 × 16 structure and filled the matrix with random numbers within GF(251). We used the random algorithm (Chun–Hui He’s iteration), then generated four directions, and used polynomial equations for the purpose of distributing powers between the parties in our future complete system. The original matrix was encoded with the photon sponge hash function after updating the S box by integrating the algorithms (Chun–Hui He’s iteration, Mariorana–McFarland method), and the results were good security measures (correlation coefficient, bijective property, balanced criteria, completeness criteria, and strict avalanche criteria) as well as the encryption and decryption time became faster (0.0005202). The major objective is to design a new digital currency system toward achieving security, scalability, and comprehensive adoption, looking into how it might improve security, promote financial inclusion, and change the present payment systems.

The face recognition system is a biometric technique that replaces traditional passwords and personal identification. This research is dedicated to presenting a study of some facial recognition systems. Since it is unlikely to replicate and is more stable over time, the domain of facial feature extraction has proven to be more effective in attaining exact facial recognition, which is important, especially in intelligent security surveillance systems. Face recognition systems encounter several challenges, primarily related to pose variations, illumination conditions, and occlusions such as hair, glasses, and so on. To address these challenges, enhance performance, and boost the accuracy and speed of identification, a wide range of mechanisms were developed to carry out the face recognition function, which converts the face image into a digital feature that allows for effective comparison and storage. This survey highlights more than 25 face recognition systems. The review analyzed the systems based on performance metrics, classifier efficiency, and feature extraction techniques, as well as their strengths, weaknesses, and suitability for real-time applications. It also described the most popular databases used to test the performance of face recognition systems. Additionally, recommendations for future research directions in face recognition have been offered.

With the rise of multimedia technology, audio file encryption has become increasingly significant, especially for voice messages in popular social media applications like WhatsApp. Voice messages hold great social significance, and to ensure their security, they must be encrypted before being transmitted over the internet. This paper proposes an efficient algorithm to securely encrypt voice messages. The innovative algorithm is based on a magic cube to reduce the execution time of the advanced encryption standard (AES) cipher algorithm. This is achieved by replacing the MixColumn function with a 3 × 3 × 3 magic cube FG (2^8) irreducible polynomial. This work reduces the execution time of the AES cryptosystem and enhances complexity by utilizing additional keys generated by a 3 × 3 × 3 magic cube. to develop a block cipher algorithm that encodes audio files using two types of finite fields: GF (P) and GF (2^8). This algorithm places a key of three cells and a voice message of six cells on each face of a 3 × 3 × 3 magic cube. Time complexity and encryption quality are evaluated according to National Institute of Standards and Technology standards, and the differential attacks' peak signal-to-noise ratio is calculated. The total complexity achieved for both GF (P) =2569 × 25118 and GF (2^8) = 2569 × 25618 is measured for comparison. Simulation results demonstrate a significant reduction in execution time and increased encryption complexity. Moreover, the magic cube with three faces (3 × 3 × 3) exhibits superior performance in terms of complexity and speed compared to the third-order magic square.