A Secure Image Encryption Framework Using Modified Henon Map with Integrity Verification

Abstract

Unsecured data communication can put the privacy and security of communication parties at risk. Data security aims to safeguard data and stop unauthorized entry and data loss. Securing the transmission of multimedia is a complex task with significant challenges in establishing the security and privacy of sensitive data. A nonlinear encryption framework is proposed here to avert unauthorized image access during transmission. Among nonlinear maps, chaotic maps show a growing and dominant role in the encryption of modern multimedia compared to traditional algorithms. The original Hénon map has a limited chaotic range, so a modified Hénon map is introduced to expand its chaotic range. This map will produce a pseudo-random number, which can be utilized as a key for image diffusion. The modified Hénon map and an image-sensitive cat map are employed in the proposed approach for encryption. Furthermore, the framework incorporates a hash based on the input image to verify its integrity. The suggested security framework provides confidentiality and integrity during transmission. This encryption scheme is simulated on MATLAB, and comparisons are made based on standard performance metrics. Simulation and theoretical examination exemplify the usefulness of the suggested algorithm and prove that this method can be an acceptable choice for secure image transmission.