Paper Title
Hybrid Algorithm for Secure and Efficient Image, Text Encryption in IoT Systems

Abstract
Data security and confidentiality are essential for safeguarding user privacy, particularly in edge-fog-cloud systems and IoT devices that require quick, accurate answers yet are vulnerable to hacking. Strong security is provided by encryption techniques like Advanced Encryption Standard (AES), although they frequently have substantial computing costs. The enhanced AES technique presented in this study is perfect for encrypting messages and images in Internet of Things networks because it maximizes security while reducing computational cost. Our approach presents a two-stage key generation procedure: a three-dimensional Lorenzo function is introduced after an inventive chaotic function with great variable sensitivity. In contrast to conventional AES, we ensure fast encryption times of less than a millisecond by using distinct dynamic substitution boxes for odd and even rounds and keeping a single key for all rounds. A bit-level cyclic permutation takes the place of the mix column function, improving performance and speed. According to simulations and NIST benchmark testing, our technique significantly increases encryption speed, unpredictability, and efficiency, demonstrating its suitability for strong IoT data security. Keywords - AES Advanced Encryption Standard, Edge-Fog-Cloud, NIST.