Multifaceted encryption for secure and efficient image transmission: The ARTE approach

Abstract

Ensuring secure and effective image transmission is a significant task in the modern world. Images can be protected using encryption algorithms, but each algorithm has advantages and disadvantages of its own. To address this, we proposed the Advanced Real-Time Encryption (ARTE) system, which combines various encryption algorithms to strike a compromise between security and efficiency. The ARTE system includes a key vault that holds information on several masks and encryption methods, each of which has a unique key. Each input image is given a random algorithm from the key vault and randomly selected masks, which are then used to encrypt it. An identifier key is then attached to the encrypted image. The system identifies the encryption algorithm that was used to encrypt the image at the other end, gets the algorithm's specifics, and decrypts the image according to those specifications. The proposed system ups the encryption challenge by including more encryption methods to increase security. The suggested cryptosystem is challenging to crack and can withstand the majority of current attacks due to the real-time encryption algorithm's unpredictable encryption technique for each input image. This ARTE system key vault that holds details of various transforms and masks is developed using.NET, and all transforms and masks are developed in MATLAB (2019a). Our tests support the suggested advanced real-time encryption system's viability and effectiveness. This project's goal is to develop a more secure image encryption solution with acceptable computing complexity, as evidenced by performance measurements and outcomes.